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Azure Study Guide

Microsoft Azure Data Factory Tutorial | A Beginners Guide

Azure data factory is a cloud-based platform. The platform or rather an eco-system allows you to develop, build, deploy and manage the application on the cloud storage. The cool thing about the platform is that it allows you to do everything on the cloud. That said, your physical device’s storage memory is saved. And all the stuff that you do is stored on the cloud. 

Seeing the Azure platform from the future point of view, it has tremendous scope. When Microsoft has come up with a concept, it is sure that it is futuristic. Hence, learning it right now is an excellent move towards your career.

You must know how practically Azure data factory works before using it. Let us consider a scenario where you are having a lot of data and you are unable to sort it. Azure data factory helps you to analyze your data and also transfer it to cloud.

To introduce you to Azure data factory, we can say that Azure data factory can store data, analyze it in an appropriate way, help you transfer your data via pipelines and finally you can publish your data. With the help of some third party apps like R and spark, you can also visualize your data.

Prerequisites for learning Azure Data Factory 

The Azure Tutorial is basically designed for developers who have Azure subscription. The implementation of Azure is going to be fallen in website, application and software development. Hence, the ones who are keen to do such projects, Azure will be more beneficial to them. 

Azure data factory tutorial

If you want to use Azure data factory, you must have knowledge about Azure data factory tutorials. Let us know what exactly is Azure data factory tutorial and how it is useful. With the help of Azure data factory tutorial, you will know how Azure data factory actually works. You will also be made aware of the importance of Azure data lake. 

Azure data factory tutorial will guide you to copy your data from SQL of Azure to Azure data lake. After that you can also visualise your data using third party sources like Power BI. 

You will also learn more about Analytics. Analytics can also be operated by using U SQL for processing the data.

Nowadays, we are getting a large number of data from many resources. Result of such increasing data is that it gets very difficult for us to manage, store and analyze the data at the same time. That is why we must use Azure data factory, which helps you to store, analyse and transfer the large amount of data.

There are various steps and terms associated with Azure data factory such as pipelines, Azure data lake, storage. Let us learn about all these terms and get detailed information about it. As discussed earlier, if you are having stored data then azure data factory collects that data, transfers that data through pipelines, and finally you can use that data to publish or visualize using various sources. 

Here is a step by step illustration.

Collect the data and connect it: Data in the pipeline can be copied or transferred to the cloud source data stores or the same data can also be moved from on-premises.

Transforming the data:  computer services can help you in transforming or processing the data which is already centralized in the cloud. Computer services are Hadoop, spark, R etc.

Publishing the data: Data which is already structured, analysed and well refined is now collected into the Azure data factory warehouse. It is monitored and published in the Azure data warehouse.

Monitoring your data: PowerShell, Azure monitor is available on Azure portal which helps you in pipeline monitoring. Azure data factory works on data driven workflow with structure so that it can easily move and transfer the data. Azure data factory does not work with a single process. It has various small components which work independently, and when combined, it performs successful operation. 

Pipeline: Unit of work which is performed by logical grouping activities is called a pipeline. Pipelines can be single or multiple. Various tasks are performed by pipeline at a time, such as transforming, analysing and storing 

Activity: processing steps of the pipelines are represented by the help of Activity. For example – copy activity is widely used to move data from one source to another source.

Datasets: data sources which are present in the data stores are represented by the data set structures. We can also classify that data in our activities.

Linked Services: It can be defined as a bridge which is used to connect Azure data factory to the external resources. Computer resources and data stores are types of the linked services.

Triggers: Triggers, as the name suggests, triggers something. When pipeline execution is needed to be disabled then the unit of processing determines it with trigger this unit is known as trigger. Another feature of trigger is that we can schedule this process pre-handed, so that at a particular point we can trigger and disable the process.

Control flow: It is an extension of activities which are carried out by pipeline. We can also say it is like a thread or chain which arranges activities in a sequence. 

Components of SQL Data Warehouse

Data Warehouse units: 

Data Warehouse Units (DWUs) are the measure of data or resources that are received by SQL. This memory is allocated to the data warehouse.

Scan/Aggregation: Scan/Aggregation scans the query generated. This work is I/O and CPU based. 

Load: Load is the measure of how much data could be actually talked up by the data warehouse.

Create Table As Select (CTAS): CTAS enables users to make a copy of the table. It reads, operates, distributes, and writes the table. 

Structure of Azure data factory

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Let us get into more depth about Azure data factory structure. Let us consider you are having some data, it can be in the form of mobile data or any other kind. Now this data can be transferred to your output cloud using a pipeline. Pipeline is SQL or hype which carries various operations on data and transfers it to the output cloud. We will learn more about pipelines in a few more upcoming points. Output data is the structure form of your data as it is already transformed and analyzed in the pipeline. Finally this data is stored in the lake data.

Organization: 

Azure DevOps Organization works very similar to any physical organization out there. It is a group or division of alike projects combined together.

Projects: 

Projects in DevOps are agile and continuous testing, integration and the deployment of the same project is ongoing. 

Creating Azure Data-Factory using the Azure portal

Step 1: Find – \”create a resource\’ and search for \”Data Factory\”. Click the create icon.

Step 2: Give your data factory a name. Select your resource group. Give it a path to and choose the version you would like.

Step 3: Click on create.

Thus your data factory is ready to be filled with more data. 

Azure SQL Stretch Database & SQL Data Warehouse

SQL Stretch Database:

SQL database acts as an interface between the user\’s raw data and Azure\’s data lake. SQL database is processed and transformed to the cloud. The data is processed to be classified further. Hot data is the one which is accessed frequently by the users. And cold data is one which is not accessed quite frequently. 

To recover or fetch the data, whenever needed, we simply need to type a query. And the data, wherever it may have categorized in, is searched out. 

Advantages of SQL Stretch Database

The on-premise storages are expensive and they take some extra efforts to fit in the database queries. SQL is comparatively easier and cheaper than most of the other storage platforms. SQL extracts the data on cloud. Hence it is faster, and it\’s maintenance is minimal too.

While transforming the data, SQL keeps it extremely safe and secure. It\’s encryption is protecting the privacy of data even while transformation of data is in process. Advanced security of the SQL keeps the stretch database absolutely secure and safe.

SQL database warehouse is a fully cloud-based platform and hence extracts the data with ease. It uses parallel architecture to fetch out whichever type of data is searched for. In the parallel architecture, the data is inquired with the control mode, and passed on to the computer mode. Both the modes and processes in between are made to work parallelly. 

Azure DevOps

Azure DevOps helps in coordinating with the support team to make the Azure application development and changes. That said, Azure DevOps allows you to modify the minor changes in codes and infrastructure without having developers to interfere. 

Services of Azure DevOps

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Not only the Azure DevOps allow you to modify minor changes, but it also helps the user deploy and build the applications. Its services are scattered wide. Right from building to developing to deploying, all the functionalities are performed in sync on the single cloud platform.

Azure Repository: 

Azure Repository is very analogous to git repository. All the codes are stored in Azure repository to build up an application. The tool is used by developers to code and build. Specific developers are granted access to a particular git part of the code. 

Azure pipeline:

Azure pipeline works as a pipeline to the destination path. Wherever the code is required to combine or to function on a particular time, this pipeline inserts the code there. 

Boards: 

Board is something where you can create activities, track activities, and distribute the task of development to the team.

Test Plan: 

Test plan is browser-based testing done with automation instead of having manual testing to be done.

Artifacts: 

Azure data factory, requires NuGet package, npm, Maven package, and many other such packages. Artifacts is compatible with all the packages and hence is very useful.

Collaboration tools: 

These are the tools for team collaboration. The team is free to have their own customized dashboard and the widgets they require on their board. 

Azure DevOps Portal

Azure DevOps Portal is where you will be performing all the development tasks. To create an Azure Portal, you need to register to Azure services first. 

Step 1: Visit https://Azure.microsoft.com/en-in/services/devops/ and click on Start Free if you are not yet registered to Azure services.

azure devops portal

Step 2: Once you have started, it will ask you to fill up the details. 

azure devops portal-2

Step 3: Now you are in Azure DevOps Portal and you got to create a new project and organization for you.

Step 4: Create New Organization.

Step 5: Give your organization a name and select the path location for your organization. 

Step 6: Organization is created now and you will be asked to create your new project

Step 7: Give your project a name. And select the version on which you will be working, from advanced settings. 

Step 8: Once you click on create project, your project will be created successfully. 

You can invite your teammates for the project. 

Publish ARM Deployment project into DevOps

Step 1: Open Visual Studio and search for a new project tab.

Step 2: In the project, you will find Azure Resource Group. 

Step 3: Configure the new project with it and click next.

Step 4: Click on Web Application from the Azure Template in Visual Studio.

Step 5: You will find the website.json file to the left-hand side of the file explorer.

visual studio new project tab

Step 6: Publish this code by clicking on Add code. 

Step 7: You will get a new git repository. 

Step 8: Click Team Explorer and then right click to select sync.

Step 9: Click on the Publish Git Repo button. And your project in the Azure DevOps organization is published.

Step 10: Select the project and repository path where you want to publish this code and then click on publish repository.

All you need to know about Azure Factory Data lake file system.

Microsoft Azure Data Lake: Working of data can be understood in three basic steps. First step is to get you output data which can be in mobile data form or any other type than it is transferred to the Azure factory data and you can visualize your data in the third step using any third party apps like R, apache, Spark etc. 

There are another two vital components which you should be aware of. First concept is storage, storage of data can be in Gigabytes, terabytes etc. This data is wide and large information. You can analyze this data as structured or unstructured data. Structured data has specific information in it and unstructured data is a lobby type of data. 

The second concept is analyze, now analyze is also divided into two types. First type of 

Analysis is a monitor type where you can generate your data. For example data of buildings, location, construction cost, area of building, life of building, amount of live load and dead load it carries. All this data of building is available to you in a structured manner.

Another type of analysis is use of Azure data factory in a card. If you have a debit card you can know it\’s transactions, location of card, it\’s expiration date and much more. These are the two main concepts you must know about Azure data factory.

Bottom Line

Thus was the glimpse into Microsoft Azure. The tutorial was for beginners who have not accessed the Azure data factory platform yet. Looking forward to Azure data factory from a career point of view, it is the best skill to learn today that will help you earn tomorrow. Basically, all the social media data is processed and optimised using a data factory. 

Azure, being a cloud based platform, the load on Azure is light. The data could be accessed whenever the user wishes to. There are various career opportunities in the forte of Azure data factory. 

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Azure Study Guide

What Is Microsoft Azure | A Definitive Guide To Learn Azure

Microsoft Azure is a set of cloud computing services provided by Microsoft to develop, test, deploy and manage the application services, by utilizing the vast environment of Microsoft data centers. Either you want to enhance an existing application by adding a new capability or you want to develop a new application; Microsoft Azure gives to flexibility to do the things of your own.  

It gives you the efficiency of cloud computing by providing a public cloud environment that gives you smooth integration, easy scalability and high accessibility, and robust performance.

Who are the users and how Azure helps them gear up with cloud?

Microsoft Azure targets and benefits a range of users by providing Storage, Networking, Analytics, and Computing of data sets in a cloud environment.

Microsoft Azure Services 

azure cloud services

Storage: Microsoft Azure Offers multiple storage services (Microsoft Azure Blobs, Microsoft Azure Files, Microsoft Azure Table, and Disk Storage).

Networking:  Microsoft Azure VM, Microsoft Azure CDN, Microsoft Azure Traffic Manager, Microsoft Azure VPN Gateway, Microsoft Azure DNS and so on. 

Analytics: Microsoft Azure Stream Analytics, Microsoft Azure Analysis Service, Data Factory, Microsoft Azure DataBricks on so on. 

Computing: Microsoft Azure VM, Service Fabric, App service and so on.

  • Students
  • Developers
  • Cloud architects
  • Administrators
  • AI Engineers
  • Business Analysts
  • Data Engineers
  • Data Scientists
  • Virtual Machine specialist

Microsoft Azure gives you the ease of hosting your application in a highly secure environment without any fear of losing important assets (data). You can handle a wide range of customer demand by just integrating into this environment without dealing with load balancing on your database. It speeds up process timing and keeps you ahead in service. This ecosystem is so flexible that one can compute huge data sets most simply. Microsoft Azure manages and cares about the server downtime as well and keeps the highly available application running all the time.

How to get started with Microsoft Azure?

Microsoft offers a wide range of cloud platforms and services in the categories of IaaS and PaaS, SaaS. Wherein one needs to understand and identify, which service he/she might need to support the application architecture.  

Microsoft Azure as IaaS: It gives you full control of the Application Hosting.

Microsoft Azure as PaaS: Fully managed services required to enhance your Application Service. 

Microsoft Azure as SaaS: Most commonly used cloud-based Apps such as your email, Office Tools (Microsoft Office 365), and calendaring. 

iaas-paas-azure

Microsoft Azure Documentation helps the users to identify the commonly used Microsoft Azure services. You can also refer the Microsoft Azure portal to help you easily manage all the services. It also gives developers the flexibility to use various API and SDK to program for their specific need.

Do you need to run your entire application infrastructure or Just want to run as a Virtual Machine (VM)

Options are broad such as

  • You can use the application management facility.
  • Serverless Framework to host code execution as per your need.
  • You can use cloud storage as required with several available options.
  • You can utilize Microsoft Azure enterprise authentication.
  • OR, Cloud-based development and monitoring platform.
  • Also, Most hosting services offers DevOps integration.

DevOps

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Build, Validate, Deploy and Maintain your Application. It enhances your development speed by integrating Development + Operations.

How Microsoft Azure Supports Application Hosting?

Microsoft Azure helps you to operate into a high-performance interface through various services, so you require no infrastructure or hardware components to support your application. It easily scales up and scales out as per your need. 

Microsoft Azure is a developer-friendly platform, it gives you a completely serverless environment where you can code and customize your requirements.

App Services by Microsoft Azure 

Microsoft Azure App Services is the quirkiest way to deploy web-based projects. It facilitates REST APIs, so it\’s easy to expand web apps and provide extensive services to your mobile clients. Microsoft Azure offers a wide range of containers for continues deployment of your applications. It authenticates the service by social providers and gives you traffic based auto-scaling support.

Microsoft Azure is a one-stop solution for those who want to develop web-based Apps, Mobile Apps Back Ends, and API apps by reducing the infrastructure-related burdens. 

Calling three services at a time cause the same run time, you can run your mobile apps, call API service and host a website at the same time in this extensive environment. Microsoft Azure gives you a huge repository  of Azure Documentation to know about its services as per your specific needs. Apps services are designed considering the DevOps concepts. 

Microsoft Azure Tools for Publishing and continues Integration deployment 

How you can use Microsoft Azure App Services

  • You can migrate your existing application into Microsoft Azure.
  • If you need fully managed and self-controlled web hosting features Microsoft Azure serves your needs.
  • If you need support for a mobile client or need to utilize REST API features in your App. 
  • So, you can get started with the Web App, Mobile App, or API App just in three steps. 
  • Select App Type -> Select Template->Work with your App
  • You can work with short apps without having an Microsoft Azure account.

Microsoft Azure VM (Virtual Machine)

Microsoft Azure IaaS platform lets you migrate or deploy a new application into Windows and Linux virtual machines. With this VM you will have the total monitoring, and configuration control of the VM. Virtual Network works together with VM and serves you with Microsoft Azure service streams. Like any normal cloning of VM in you’re personal computer you required to be responsible for all servers software installation, configuration, maintenance, and OS (Operating System) patches. 

You can operate the wide range of Vm’s because of having an advanced level of control to the environment. Activities such as Data Workload (data servers), Windows servers active directory, and SharePoint can be easily manageable. You can refer to the Linux or Windows VM documentation from the Microsoft Azure website. 

The advantage is the full control of the application infrastructure or migrating existing applications on-premises,  the load can be easily tacked with Microsoft Azure.

Microsoft Azure Serverless Functions

We mostly deal with issues related to creating own infrastructure for the application support, so much hardware configuration is required to support your application. Microsoft Azure simplifies the requirement by giving freedom to run your code without any existing hardware setup and get the expected results. 

Microsoft Azure function allows you to write the code of your need (best for developers). You can trigger the function by using HTTP requests, cloud service events, webhooks, on a specified schedule. 

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You can choose the development language of your choice such as python, .Net, PHP, Node. js and so on. Even you don’t need to worry about the charges applied for this service, you just need to pay the consumable amount during your code execute on the platform. It will be latterly scalable as per your need. 

Usage: You can use this feature when you have code that triggers other Microsoft Azure services or when you do not want to handle an entire hosting platform. Just code your need and pay as per utility/consumable. Check more details about Microsoft Azure function Overview on the Microsoft Azure website.

Again, You do not need to Sign- Up for an Microsoft Azure Account to try this feature. 

Microsoft Azure Distributed System (Microsoft Azure Service Fabric)

If you are thinking of micro-services, Microsoft Azure distributed system will give you the freedom to build, package, deploy, manage a reliable and scalable set of micro services. It will provide you easily understandable, smoothly accessible, and error-free environment to boost your application management capability. 

  • Developing 
  • Deploying 
  • Monitoring 
  • Maintaining  
  • Upgrading/Patching 
  • Deleting 

When you required to run your apps into shared pools, you can run it into one and latter scale it to unlimited machines as needed. 

Microsoft Azure service fabric can be used with WebAPI which has Web Interface for ASP.Net and .Net.  It also provides SDK for helping .Net and JAVA. 

Usage: When you want to trigger microservices through an existing application or building the new one.

Application Enhancement with Microsoft Azure Services

Microsoft Azure enhances application functionality along with application hosting. It enhances the development and maintenance of the application through both the channels of cloud and In-Premises infrastructures. 

Storage for web hosting and Data Accessibility with Microsoft Azure 

Most application depends on data storage. How well you store, process and retrieve data defines the reliability of the application. It offers a wide range of database services to enhance data storage experience. 

Microsoft Azure also helps you with Microsoft Azure Data Factory to move and migrate your existing database to the Microsoft Azure cloud.

Containers support by Microsoft Azure 

Containers work as same as your development and test-based systems. Docker container by Microsoft Azure is a form of OS Visualization, which gives you more scope to deploy the application more predictably. 

What is a Container?

A container is a software unit that packages the codes and dependencies in a single bundle and helps you run the codes efficiently and quickly in a safe environment. 

This Docker container can be managed by standard Docker Tools.  Existing open-source tools can be also used to deploy your application in Docker Container. 

Ways to use Container in Application

  • Microsoft Azure Docker VM Extension
  • Microsoft Azure Kubernetes Services
  • Docker Machine 
  • Custom Docker image for App Services

Monitoring and Control to Authorized Access

It’s very important to track and monitor that who and how can access your application or services provided by that. Microsoft Azure provides you several ways to authenticate your app clients. 

Microsoft Azure Active Directory (Microsoft Azure AD): Microsoft offers multi-tenant service which monitors identity and manages access to the service. You can create an individual sign in for your application using Microsoft Azure AD. The directory properties are accessible through Microsoft Azure AD Graph API or Microsoft API directly. You can integrate REST/HTTP API or Multi-Platform authentication library. 

Usage: If you want to experience a single sign-on into the application Microsoft Azure AD is the solution for you.

App Service Authentication

Microsoft Azure AD gives you built-in authentication support for App Service Authentication. It also integrates you with social identity providers such as Google, Facebook, Microsoft, and Twitter. Simply you can onboard by using any of these accounts. 

Monitoring 

The moment your application is running well and good in Microsoft Azure setup. You need to monitor the performance of the application. Such as customer usages, Application issues and so on. 

Application Insights 

Microsoft Azure gives you deep insights into your running application to improve the reliability of that. It helps you get the deepest analytics of data which defines the application capability and flaws. 

Microsoft Azure Monitor  

It gives you the flexibility to visualize, query, route, archive and act on the metrics and logs generated by Microsoft Azure Infrastructure.

Microsoft Azure Regions 

Microsoft Azure is Region neutral Cloud; It means is available worldwide almost all specified region in the globe. You need to act smart and do a little reasoning while choosing your hosting region for your application. The region you choose is going to make an impact on application performance. If you are targeting a specific region customer you need to choose the closest region for your target type. This way you reduce the latency of the network request and decrease the response time as well. 

The region defines your specific data center  to run and store your application data. If you are hosting your data center nearer it is always good to store your data in that region itself. 

Multi-reason data canters are also preferable by most of the vital business groups. Though it\’s almost impossible for a data center  to fail and lost internet connectivity it’s always a good option to host in multiple data centers because it reduces the risk of natural disasters as well and increases the response timing.

 

Cloud Microsoft Azure Amazon AWS Google Cloud Platform
Compute Services IaaS Virtual Machine Amazon Elastic Compute Cloud Google Compute Engine
PaaS App Service and Cloud Services AWS Elastic Beanstalk Google App Engine
Container Microsoft Azure Kubernetes Service (AKS) Amazon Elastic Compute Cloud Container Service Google Kubernetes Engine
Serverless Functions Microsoft Azure Functions AWS Lambda Google Cloud Functions
DataBase Services No-SQL Key-Value/Index Table Storage, Microsoft Azure Cosmos DB Amazon Dynamo DB, Amazon SimpleDB Google Cloud DataStore, BigTable
RDBM SQL Database Amazon Relational Database Service Google Cloud SQL
Storage Services Object Storage Disk Storage Amazon Simple Storage Service Google Cloud Storage
Block Storage Blob Storage Amazon Elastic Block Store Google Compute Engine Persistent Disks
Cloud Storage Microsoft Azure Archive Blob Storage Amazon Glacier Google Cloud Storage Nearline
File Storage Microsoft Azure File Storage Amazon Elastic File System ZFS/Avere
Networking Services VM Virtual Networks (VNets Amazon Virtual Private Cloud (VPC) Virtual Private Cloud
Elastic Load Balancer  Load Balancer Elastic Load Balancer Google Cloud Load Balancing 
Peering Express Route Direct Connect Google Cloud Interconnect
DNS  Microsoft Azure DNS Amazon Route 53 Google Cloud DNS

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Azure Study Guide

Microsoft Azure Certification Path (List) In 2020 [Updated] – MindMajix

You might have wondered why Microsoft Azure is becoming a trendsetter in providing the best cloud services. It is just because of the delivery of unique features and innovative services offered by Azure on a constant basis.    

Microsoft has been restructured Azure certifications into role-based ones, that directly focuses on aligning the job roles.  If you wish to take your career to greater heights in the cloud computing world, it is advisable to have Azure Certification.  

We have multiple certifications in Azure choosing the right certification plays a vital role in your career growth. In this blog, we are going to discuss detailed information about the Microsoft Azure Certification Path so that it is easier for you to choose the best certification that suits you.

What is Microsoft Azure Certification?

Microsoft Azure is one of the topmost cloud providers and has designed specific standards for qualifying the various certifications. These certifications also have got the place in most valuable certifications in the IT segment. Depending on the user\’s experience, there are many certification paths available in Azure. Over the years, the adoption rate of Microsoft Azure growing rapidly, and this made a huge demand for certified professionals. 

Microsoft Azure Certifications Path:

Here we\’ve simplified the path for Azure certifications. Below mentioned are the three levels in Azure certification:

  • Fundamental level Certification
  • Associate level Certification
  • Expert level Certification

We have gathered here an ample of information to provide you with the complete information on each certification level. By the end of this article, you will walk away with the complete knowledge of certification types, exam process, exam fee, etc. Microsoft Azure provides role-based certifications in the cloud domain. Let’s discuss all the role-based certifications available in Azure.     

Role-Based Certifications of Azure:

Here are the role-based certifications of Azure:

Microsoft Azure Fundamentals (AZ-900 Exam):

The purpose of the Azure fundamentals exam (AZ-900) is to validate the fundamental knowledge in Microsoft Azure and Cloud, from sales to the developer, purchasing or selling the cloud-based services and solutions. It can be considered as a precursor to the Azure cloud service exams. The AZ-900 exam is particularly designed for demonstrating the fundamental knowledge in the cloud services and also useful for the candidates from a non-technical background. 

Prerequisites: 

  • Candidate should be familiar with the Azure Platform.
  • Candidate should know basic knowledge in Cloud Computing.

Languages:  English, Chinese, Japanese, and Korean. 

AZ-900 Exam Price: 99 USD.

Skills Measured and Exam Weightage:

Cloud Computing Concepts (15-20% Exam Weightage):

  • Understand the terms Scalability, Availability, Fault Tolerance, Elasticity, and Disaster Recovery.
  • Know the consumption-based model.
  • Perceive the knowledge in understanding the differences between Operational Expenditure and Capital Expenditure.
  • Understand the concepts of Infrastructure-as-a-Service (IaaS), Software-as-a-Service(SaaS), and Platform-as-a-Service (PaaS).
  • Understand the differences between Private cloud, Public cloud, and Hybrid clouds.  

Core Azure Services (30-35% Exam Weightage):

  • Understand the concepts of Zone Availability, Azure Resource Manager, Azure architectural components, and Resource group.
  • Know how to compute Virtual machines, App functions, and services.
  • Describe the availability of networking products such as Load Balancer, Virtual Network, VPN Gateway, and Content Delivery Network.
  • Describe the availability of the product for Disk Storage, Blob Storage, Archive Storage, and File Storage.

Security, Compliance, Privacy, and Trust (25-30% Exam Weightage):

  • Understand the concepts of Azure Firewall, Network Security Group, Azure DDoS.
  • Know the differences between authorization, authentication, and multi-factor authentication.
  • Enhance the concepts of Azure Security, Key Vault, Azure Policies, Azure Advisor assistance.
  • Describe the Azure monitor, Azure service health, Trust center, and Compliance Manager.

Azure Pricing and Support (25-30% Exam Weightage):

  • Understand the procedure of Azure subscriptions, billing purposes, Azure cost management, creating spending limits, and Azure advisor recommendations.
  • Determine Azure Service Level Agreements (SLA), monitor feature updates, and a knowledge center.

Microsoft Azure Administrator Manager (AZ-103 Exam):

The Microsoft Azure Administrator Manager certification exam (AZ-103) is used to validate the user expertise in managing the span compute cloud services, security, networking, cloud capabilities, and storage within Microsoft Azure. The AZ-103 exam is a substitution of AZ-101 + AZ-100 or AZ-102. The candidates who are willing to take this AZ-103 certification must have to understand the services of the full IT lifecycle, which includes applications, infrastructure services, and environments. The AZ-103 exam is designed for candidates who have proficiency in the Azure portal, Command-line Interface, Powershell, ARM templates, virtualization, storage structures, cloud infrastructure, and networking.

Prerequisites:

  • Basic knowledge of operating systems, Azure applications, and cloud infrastructure.

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Languages: English, Chinese, Japanese, and Korean

AZ-103 Exam Price: 165 USD.

Skills Measured and Exam Weightage:

Manage Azure Resources and Subscriptions (15-20% Exam Weightage):.

  • Managing the administrator permissions and configuring costs.
  • Configuring the settings of diagnostic resources, creating baseline resources, analyzing subscription metrics, and creating action groups.
  • Configuring resource policies and implementing resource groups.
  • Creating access to Azure resources by assigning roles.

Manage and Implement Storage (5-10% Exam Weightage):

  • Creating storage accounts, exporting, and importing data to Azure.
  • Implementing the replication of Azure storage. 
  • Configuring Azure content delivery network (CDN).
  • Reviewing backup reports and recovering service vaults.

Manage and Deploy Virtual Machines (20-25% Exam Weightage):

  • Automating virtual machine deployments.
  • Managing the backups of virtual machines.
  • Configuring VM for Linux and Windows.

Manage and Configure Virtual Networks (20-25% Exam Weightage):

  • Troubleshooting virtual network.
  • Configuring name resolution and Network Security Group (NSG).
  • Virtual networks connectivity.
  • Integrating the Azure virtual network with an on-premise network.
  • Implementing virtual networking.

Manage Identities (15-20% Exam Weightage):

  • Managing Active Directory (AD) objects.  
  • Implementing hybrid identities.
  • Configuring Multi-factor Authentication (MFA) accounts.

Microsoft Azure Developer Associate (AZ-203 Exam):

The AZ-203 exam is helpful for the Azure developers who design cloud solutions like services and applications. AZ-203 exam tests your expertise in solution design, software development process, and deployment. The candidates should be good at developing services, applications, security maintenance, storage, and communications using the Azure cloud platform.  

Prerequisites:

  • Basic knowledge about data management, data security, and IT operations.

  • Candidate should understand the basic concepts of Azure development and DevOps.

Languages: English, Chinese, Japanese, and Korean.

AZ-203 Exam Price: 165 USD.

Skills Measured and Exam Weightage:

Develop Azure IaaS Compute Solutions (10-15% Exam Weightage):

  • Implementing authentication by using form-based certifications.
  • Creating ARM templates.
  • Writing Azure batch service code.
  • Creating Azure Kubernetes Services (AKS).
  • Creating mobile Azure App Services.
  • Implementing function bindings.

Develop Azure Storage (15-20% Exam Weightage):

  • Designing policy tables.
  • Creating data with appropriate APIs.
  • Setting operation levels for consistency.
  • Configuring relational databases.
  • Setting metadata and retrieving properties.
  • Implementing data retention.
  • Implementing blob leasing.

Implement Azure Security (10-15% Exam Weightage):

  • Implementing CBAC and RBAC.
  • Encrypting data at rest.
  • Creating certificates with KeyVault API.
  • Implementing OAuth2 authentication.
  • Creating Access signatures.

Monitor, Optimize, and Troubleshoot Azure Solutions (15-20% Exam Weightage):

  • Developing code for services and apps support.
  • Implementing autoscale patterns and rules.
  • Integrating content delivery and caching.
  • Invalidating cache content.
  • Implementing Application insights.
  • Analyzing solutions with Azure monitor.

Consume both Third-party Services and Azure services (20-25% Exam Weightage):

  •  Creating a logic app, custom template, the custom connector for logic applications.
  • Importing searchable data.
  • Establishing API gateways.
  • Configuring API authentication, policies, and APIM instance.
  • Implementing Azure Notification Hubs, Azure Event Grid, Azure Event Hub, Azure Service Bus, and Azure Storage Queues.

Microsoft Azure Solution Architect Expert (AZ-300, AZ-301 Exams):

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Microsoft Azure Solution Architect Expert certification validates the user’s knowledge of networking and designing cloud-based solutions. It also provides an excellent opportunity to advertise your expertise in the Azure cloud. Microsoft Azure Solution Architect Expert certification validates the user’s knowledge of networking and designing cloud-based solutions. It also provides an excellent opportunity to advertise your expertise in the Azure cloud. Configuring infrastructure, implementing workloads, and implementing authentication are key skills required for the Azure solution architect.

Required Certification Exams:

By qualifying the following two exams, one can earn azure Solution Architect Expert certification:

  • Azure Architect Technologies (AZ-300)
  • Azure Architect Design (AZ-301)

Azure Architect Technologies (AZ-300):

Azure Architect Technologies (AZ-300) certification is designed for the Azure solution architects who can translate the business requirements and advise the stakeholders with the scalable, secure, and reliable solutions.

Prerequisites:

  • The candidate should have knowledge and experience in various IT operations like Virtualization, Networking, Business Continuity, Security, Budgeting, Identity, Data Management, and Governance.
  • Understand the concept of DevOps.

Languages: English, Chinese, Japanese, and Korean.

AZ-300 Exam Price: 165 USD.

Skills and Exam Weightage:

Deploy and Configuring Infrastructure (10-15% Exam Weightage):

  • Configuring resource diagnostic settings.
  • Analyzing metrics subscription and alerts subscription.
  • Creating action groups and resource baseline.
  • Monitoring unused resources.
  • Utilizing Log search functions.

Configuring and Creating Storage Accounts (15-20% Exam Weightage):

  • Generating a shared access signature.
  • Managing Access keys.
  • Implementing replication of Azure storage.
  • Installing Azure storage explorer.
  • Configuring Network Access.

Configuring Virtual Machines for Linux and Windows (10-15% Exam Weightage):

  • Configuring the networking, and monitoring the virtual machine size.
  • Deploying the scale sets.
  • Configuring the high availability.

Creating the Connectivity between Virtual Networks (20-25% Exam Weightage):

  • Configuring VNET peering.
  • Verifying the connectivity of the virtual network.
  • Creating a gateway for the virtual network.

Managing Active Directory (10-15% Exam Weightage):

  • Adding custom domains.
  • Configuring State Roaming and Azure AD connect.
  • Managing multiple directories and password sync.
  • Performing the access review.
  • Migrating the servers to Azure.
  • Preparing a virtual network.

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Azure Architect Design (AZ-301):

Azure Architect Design (AZ-301) certification exam tests the knowledge of Azure solution architects who are responsible for translating the business requirements and advise the stakeholders with scalable, secure, and reliable solutions.

Prerequisites:

  • Candidates should clear the AZ-300 certification exam to write this Azure Architect Design exam (AZ-301).
  • The candidate should have knowledge and experience in various IT operations like Virtualization, Networking, Business Continuity, Security, Budgeting, Identity, Data Management, and Governance.

Languages: English, Chinese, Japanese, and Korean.

AZ-301 Exam Price: 165 USD.

Skills and Exam Weightage:

Determining Workload Requirements (10-15% Exam Weightage):

  • Gathering requirements and information.
  • Optimizing the Consumption Strategy.
  • Designing and monitoring the audit strategy.

Designing for Security and Identity (20-25% Exam Weightage):

  • Creating Identity Management, Authentication, and Authorization.
  • Monitoring Security and Identity strategies.

Designing Data Platform Solutions (15-20% Exam Weightage):

  • Creating a Data Management Strategy and Data Protection Strategy.
  • Designing the Document data flow and Data platform monitoring strategy.

Designing Business Continuity Strategy:

  • Creating a Data Archiving Strategy and Site Recovery Strategy.
  • Designing a Disaster Recovery Strategy.

Designing Infrastructure Strategy (15-20% Exam Weightage):

  • Creating the Storage provisioning strategy, compute strategy, Network strategy, and Identifying compute requirements.
  • Monitoring the Infrastructure Strategy.

For more information click: Microsoft Azure Tutorial

Microsoft Azure DevOps Engineer Expert (AZ-400 Exam):

The Microsoft Azure DevOps Engineer Expert certification exam is for the DevOps professionals who can combine technologies and processes to deliver valuable services that meet user requirements and business objectives. This certification helps in optimizing practices and creating automation. 

Prerequisites:

  • Candidate should know about Azure administration.
  • Candidate must have proficiency in Agile practices.

Languages: English, Chinese, Japanese, and Korean.

AZ-400 Exam Price: 165 USD.

Skills and Exam Weightage:

Designing a DevOps Strategy(20-25% Exam Weightage):

  • Recommending DevOps tools consolidation strategy.
  • Analyzing test management tools and work management tools.
  • Implementing the work management approach to Agile.
  • Designing a quality strategy.
  • Recommending the performance testing and feature flag lifecycle.
  • Designing Secure development process and tool integration strategy.

Implementing DevOps Development Processes(20-25% Exam Weightage):

  • Recommending branching models, code flow strategy, and version control systems.
  • Third-party integration of source control and CI/CD systems.
  • Implementing build infrastructure and third-party build systems.
  • Implementing code flow and configuring branch policies.
  • Managing UI test device sets and creating public distribution groups.

Implementing Continuous Integration (10-15% Exam Weightage):

  • Managing security policies and code quality.
  • Integrating security analysis tools.
  • Implementing the container build strategy.
  • Creating deployable images.
  • Implementing multi-agent builds and hybrid build process
  • Recommending the configuration of build tools.

Implementing Continuous Delivery (10-15% Exam Weightage):

  • Designing a release strategy and recommending release tools.
  • Automating the health signal inspection. 
  • Creating release pipelines and configuring automated integration.
  • Implementing canary deployments.
  • Managing templates and tasks.

Implementing Dependency Management (5-10% Exam Weightage):

  • Designing the dependency management strategy.
  • Identifying the standardized versions of solutions.
  • Managing compliances and security.
  • Configuring secure actions.
  • Inspecting the packages of open-source software.

Implementing Application Infrastructure (15-20% Exam Weightage):

  • Configuring management strategy.
  • Analyzing the existing infrastructure and hosting infrastructure.
  • Designing technical debt strategy, transient infrastructure strategy, mitigate infrastructure strategy.
  • Implementing infrastructure as code.
  • Recommending IaC strategy and configuration management technologies.
  • Provisioning Azure resources.

Implementing Continuous Feedback (10-15% Exam Weightage):

  • Recommending system feedback mechanisms.
  • Monitoring tools and technologies.
  • Optimizing feedback mechanisms.
  • Analyzing telemetry.
  • Integrating ticketing systems with the management system.

Microsoft Azure Security Engineer Associate (AZ-500 Exam):

Azure Security Engineer Associate (AZ-500 Exam) is designed for security engineers who maintain the security posture, implement security controls, protects data, and manages the identity. Azure security engineers are part of the cloud-based system managing team. They also involve in threat protection implementation and security.

Prerequisites:

  • Candidate must be familiar with Microsoft Azure services and products.
  • Candidate should understand the concepts of virtualization, networking, and N-tier architecture. 

Languages: English, Chinese, Japanese, and Korean.

AZ-500 Exam Price: 165 USD.

Skills and Exam Weightage:

Managing Access and Identity (20-25% Exam Weightage):

  • Configuring Azure tenant security.
  • Configuring Azure Active Directory.

Implementing Platform Protection (35-40% Exam Weightage):

  • Implementing Network security and host security.
  • Configuring container security.
  • Implementing resource management security.

Managing Security Operations (15-20% Exam Weightage):

  • Configuring security policies and services.
  • Managing security alerts.

Secure Applications and Data (30-35% Exam Weightage):

  • Configuring data encryption and application security.
  • Managing Key Vault.
  • Implementing application delivery security.

Conclusion:

Qualifying certification exam demonstrates your knowledge and expertise in the particular segment of the Azure cloud platform. Companies are looking for certified Azure Professionals. Till now, we have discussed detailed information regarding various certifications available in Azure. Hope you have found useful information from this blog. If you have any queries, please comment in the below section, we will respond at the earliest. 

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Azure Study Guide

Microsoft Azure Tutorial: A Beginners Guide To Learn Azure

This Microsoft Azure Tutorial provides you with in-depth knowledge of the set of Azure cloud services that are helping your organization meet its business challenges. Before jumping into the MS Azure tutorials directly, let’s have a look at what cloud computing is all about.

In This Microsoft Azure Tutorial, You Will Learn

Introduction to Cloud Computing

Today, cloud computing is a term that is used everywhere. This is because, over the past 10 years, the shift to the internet from traditional software models has gained a lot of momentum. The near future of cloud computing promises new and innovative ways to collaborate everywhere via mobile devices. 

So, what actually is cloud computing? Cloud computing is defined as the on-demand delivery of computing services such as software, networking, databases, storage, servers, analytics etc, over the internet. The organizations that offer these computing services are known as cloud providers.

Scenario Before Cloud Computing

The traditional business applications have always been quite expensive and complicated. The variety and amount of software and hardware needed to run them are daunting. A whole team of experts is required to configure, install, update, secure, run, and test them. So, if we scale this effort for multiple efforts, you can understand why global corporations having the best IT departments are not acquiring the applications they need. Medium and small businesses cannot stand a chance.

Scenario After Cloud Computing

The headaches that come with managing software and hardware for various computing services can be eliminated by cloud computing. This is because managing software and hardware rests with the cloud service provider. Also, you can only pay for what you use, scaling up or down is simple, and upgrades are automatic.

Working of Cloud Computing

Cloud computing offers an easy way to access a broad set of application services, databases, storage, and servers over the internet. Microsoft Azure and various other cloud computing platforms owns and manages the hardware connected to the network that is needed for these application services. You provision and utilize what you require through a web application.

Benefits of Cloud Computing

From global corporations to small startups, non-profits, and government agencies, a variety of organizations are embracing cloud computing for all kinds of reasons. The following are the things that are possible with the cloud.

  • Backup, store, and recover data.
  • Deploy your application easily in multiple locations.
  • Stop sending money on maintaining as well as running data centers.
  • Create new services and apps.
  • Host blogs and websites.
  • Eliminate guessing on infrastructure capacity needs.
  • Increase agility and speed.

Kinds of Cloud Computing Services

Cloud computing services fall under 3 major categories – software as a Service(SaaS), platform as a service(PaaS), and infrastructure as a service(IaaS).

Infrastructure as a Service(IaaS) – The IaaS providers will supply the infrastructure such as virtual machines(VMs), servers, operating systems, networks, and storage, and you can pay for what you use.

Platform as a Service(PaaS) With the help of gateway software, web portals, or APIs(Application Programming Interfaces), users can access the host development tools once cloud providers host them on their infrastructures.

Software as a Service(SaaS) SaaS is a distribution model that provides software applications(often called web services) over the internet. The SaaS services and applications can be accessed by users from any location with the help of a mobile device or a computer that has internet access.

Types of Cloud Deployments

Cloud computing resources can be deployed in 3 ways. They are public cloud, private cloud, and hybrid cloud.

Public Cloud – Public clouds are owned and maintained by third-party cloud service providers. They deliver their computing resources such as storage and servers over the internet. The most popular example of a public cloud is Microsoft Azure.

Private Cloud – In a private cloud, the infrastructure and services are operated on a private network. It refers to cloud computing resources extensively utilized by an organization or a single business.

Hybrid Cloud – Hybrid cloud combines private and public clouds, bound together by technology that enables applications and data to be shared between them. Hybrid cloud provides businesses with more deployment options and greater flexibility by allowing applications and data to move between public and private clouds.

Azure Tutorial – What is Microsoft Azure?

By now, you must have known what cloud computing is all about. Now, it’s time to talk about one of the most prominent cloud computing platforms, Azure. Microsoft Azure is the public cloud computing platform developed by Microsoft. It offers a range of cloud services for networking, storage, analytics, computing, etc. For running existing applications or for developing and scaling new applications, users can pick and select from these services in the public cloud. This platform is widely considered both as an IaaS and PaaS offering.

History of Azure

In 2008, Microsoft revealed its plan to introduce a service for cloud computing known as Windows Azure. Azure’s preview versions had become available and matured and this led to its commercial launch in the year 2010. Though the Azure cloud services’ iterations feel behind the then established cloud service offerings like AWS(Amazon Web Services), the portfolio continued to grow and aid a higher base of operating systems, frameworks, and programming languages. Windows Azure was rebranded as Microsoft Azure in 2014 as the Microsoft identified that cloud computing’s implications stretched far beyond windows.

Azure Costs and Pricing

Azure primarily utilizes a model for pricing which states you can only pay for services you use. Nevertheless, if multiple Azure services are used by a single application, each service may involve multiple pricing tiers. Additionally, if a user makes a long-term commitment to certain services, like compute instances, Microsoft provides a discounted rate.

A company should review and handle its utilization of the cloud to minimize costs as many factors are involved in pricing for cloud service. Azure-native tools like Azure cost management can help to optimize, visualize, and monitor cloud spend. It is also possible to utilize third-party tools like RightScale or Cloudability to handle Azure resource usage and the costs associated with it. 

Forefront Identity Manager (Microsoft Identity Manager)

Forefront Identity Manager

Image: Harbor

Forefront Identity Manager (FIM), also known as Microsoft Identity Manager, is a self-service identity management software suite for handling role-based access control policies, credentials, and identities across heterogeneous computing environments. 

Forefront Identity Manager incorporates self-help tools in Microsoft Outlook so that the end-users can handle conventional aspects of access and identity like resetting their own passwords without the need for help desk assistance. It also enables end-users to create their own email distribution lists and security. IT administrators can utilize this software to manage smart cards and digital certificates. It also offers automation and administrative tools. 

FIM can be linked-to Azure Active Directory with the help of a tool FIM connector for Windows Azure Active Directory. This tool is used to synchronize on-premise data to Azure Active Directory in FIM. Once you download and install the tool, you can simply follow the wizard to connect on-cloud Azure Active Directory with your FIM information.

Azure Load Balancer

Azure Load Balancer can be termed as a cloud-based system that enables a set of machines to function as one single machine for serving user requests. The primary job of a load balancer is to take the client requests, see which machines in the set will be able to handle such requests and forward these requests to relevant machines. For the creation of a public load balancer by using Azure portal, For in-depth information on Azure Load Balancer, you can view here.

Azure Data Factory

The Azure Data Factory is a completely managed service for processing, composing data storage, movement of services into reliable, scalable, and stream-lined production pipelines. The Azure Data Factory offers access to cloud data in Azure Storage and Azure SQL Database, and on-premises data in SQL Server. For on-premises data, the access is provided via a data management gateway that links to on-premises SQL Server databases. For in-depth information on Azure Data Factory, you can see here. 

Azure Data Lake

Azure Data Lake is a highly scalable public cloud service that enables developers, business professionals, scientists, and other Microsoft customers to obtain insight from complex, large datasets. Azure Data Lakes can be provisioned by customers for storing an unlimited amount of unstructured, semi-structured, or structured data from a variety of sources. For more information on Azure Data Lake, you can view here. 

Azure Cloud Services

Azure cloud services are categorized into 18 major product types. They are as follows. 

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Web – Web services support web application development and deployment. It also provides features for reporting and notification, API management, content delivery, and search.

Data storage – Data storage services offer scalable cloud storage for unstructured as well as structured data and also offer support for archival storage, persistent storage for containers, and big data projects.

Analytics – Analytics services offer distributed analytics and storage, and features for big data analytics, real-time analytics, data lakes, machine learning, etc.

Management – Management services offer a range of compliance, recovery, backup, monitoring, scheduling, and automation tools that can enable a cloud administrator to handle an Azure deployment.

Mobile – Mobile products help a developer provide notification services, provide tools for building APIs, offer support for back-end tasks, develop cloud applications for mobile devices, and so on.

Migration – Migration tools help a company forecast the costs for workload migration, and do the actual migration of workloads to the Azure cloud from local data centers.

DevOps – DevOps group offers collaboration and project tools like Visual Studio Team Services that make the DevOps software development processes much easier to accomplish.

Databases – Databases category incorporates DBaaS(Database as a Service) offerings for NoSQL and SQL, and other database instances like Azure Database for PostgreSQL and Azure Cosmos DB.

Azure Compute – Azure Compute services allow a user to manage as well as deploy containers, virtual machines(VMs), and batch processing. They also support remote application access.

Containers – Container services help a company manage, orchestrate, register, and create high volumes of containers in the Azure cloud with the help of common platforms like Kubernetes and Docker.

Machine Learning and Artificial Intelligence – This is a broad range of services that a developer can utilize to infuse cognitive computing, AI, and machine learning capabilities into data sets and applications.

Security –Azure products offer capabilities to detect and respond to cloud security threats and manage encryption keys and various other sensitive assets.

Development – Development services help application developers track potential issues, test applications, and share code.

Internet of Things(IoT) – These services enable users to analyze, monitor, and capture IoT data from sensors and various other devices.

IAM(Identity and Access Management) – IAM offerings make sure that only the users who are authorized can access Azure services, and help in protecting encryption keys and other sensitive information in the cloud.

Hybrid Integration – These services enable connecting public and private clouds, site recovery, and server backup.

CDN(Content Delivery Network) and Media – These services include digital rights protection, on-demand streaming, encoding, indexing and media playback.

Networking – Networking group includes gateways, dedicated connections, virtual networks, and services for load balancing, diagnostics, traffic management, network protection against DDoS(Distributed Denial of Service) attacks, and DNS(Domain Name System) hosting.

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Azure Management Portal

Microsoft Azure Management Portal is a simple way to observe and track all Azure subscriptions, spending, and usage. The reporting features and dashboard will provide you with an in-depth understanding of Azure expenditure and consumption. The features of the Azure Management Portal include:

  • Strategize future usage and capacity
  • Exploit your cloud data
  • Optimize virtual machine size and scale
  • Control billing and spend
  • View all subscriptions at one place

Once you sign up and start using your Azure portal, it is equally essential to manage the Azure Portal. Here are the steps to access Azure Portal Management:

Step 1 − Login to your Azure portal from – https://manage.windowsazure.com

You will be able to see all your applications in the portal. In the left corner, all the existing applications are categorized. If you are new to the Portal, there will be a tab to create a new Azure Portal. 

Here’s how to Check your Azure Credit and Subscriptions: 

  • Step 1: Find the green buttoned ‘Credit’ on the top right corner of the portal.
  • Step 2: You will get a pop-down reading ‘view more’. All your credits and subscriptions will be shown on the screen.
  • Step 3: You can set or remove your spending limit. 

Add a New Subscription

  • Step 1 − Open your account settings on your Portal, by clicking on your mail-id. 
  • Step 2 − You find your billing tab.
  • Step 3 − Click on add subscription over there.
  • Step 4 − You will get a list of items. Choose the one that you wish to subscribe to.

Create Virtual Network in Azure

Virtual Network is a network on the cloud. In Azure, you can have your own cloud-only network. It is pretty simple to follow:

Creating a Virtual Network in Clouds Only

  • Step 1 − In your Microsoft Azure portal, click on the ‘add new’ button. 
  • Step 2 − Click on ‘Network Service’ and then on ‘Virtual Network’.
  • Step 3 − You will find a quick create option.
  • Step 4 − Everything on the screen will be auto-filled. You can make minor changes to location or time. And everything else is good to go. 

Creating a Virtual Network in Cloud Only (Advanced Settings)

Follow the first 3 steps from above. 

  • Step 4 – Find ‘custom create’.
  • Step 5 − Enter the network name and select your location.

If you are a developer, you can add the DNS server and fill up other information. Leave other things of connectivity choices, as they are. 

Deploying Virtual Machines in Azure

Deploy Virtual Machine in Azure Using Quick Create

  • Step 1 − Click on add new and then on ‘Compute’.
  • Step 2 – Select ‘Virtual Machine’ and ‘Quick Create’.
  • Step 3 − Type your DNS name. 
  • Step 4 − You will get a pop-down menu of image size. Choose the size of the image.
  • Step 5 − Enter your username and password.
  • Step 6 − Select the area for which you have to create a virtual machine. And you are done.

Deploy Virtual Machine in Azure with Advanced Settings

  • Step 1 − Choose costume to create while creating a Virtual Machine.
  • Step 2 − Choose the image size. 
  • Step 3 − Select the tier for your VM.
  • Step 6 − Enter your username and password.
  • Step 7 − Write your DNS name. 
  • Step 8 − If you wish to create a group of VMs then go for Availability set. If not, just hit skip.
  • Step 9 − And your VM is created.

Microsoft Azure Endpoint 

Azure Endpoint configuration is meant to allow the systems to communicate. In case, you want to connect your system to a remote system, you will need an endpoint configuration. You can do this configuration within a network.

  • Step 1 − Open your VM.
  • Step 2 − Add Endpoint in your VM.
  • Step 3 − Click on ‘Add a Stand-Alone Endpoint’.
  • Step 4 − You will get a dropdown menu for unused ports. Select the port of rename it for your convenience. 
  • Step 5 – Other features can be filled up later, or if you know the accurate features, you can mark them up. Or leave it for later. 

And you are done configuring the Azure endpoint.

Point-to-Site Connectivity in Azure 

Point to Site Connectivity is for the remote working of the systems that are on the premise. The machines are linked to a Virtual Network. And are connected to one another on-premise. Around 128 Azure systems could be connected to the on-premise by point to site connectively. 

Creating and configuring the Point to Site Connectivity is actually an easy task. Simply select the point to site connectivity while creating a VM. 

Site-to-Site Connectivity in Azure

The site to site connectivity is when on-premise devices are to be connected but without taking them to a cloud. In site to site connectivity, you are connecting the systems to Azure servers, instead of cloud ones.

To Configure Site-to-Site VPN, you need a key to be able to share. Unlike Point to site connectivity.

The latest Azure Portal is depicted in the below image.

Azure Portal

Image: Aidan Finn

Azure Resource Manager

Basically, the infrastructure for your application is made up of various components such as database server, database, virtual network, storage account, and a virtual machine. You don’t view these elements as different entities, instead, you view them as interdependent and related components of a single entity. You want to monitor, manage, and deploy them as a group. 

Azure Resource Manager will allow you to function with resources as a group in your solution. You can delete, update, or deploy all resources for your solution in a coordinated, single operation. A template can be used for deployment and it can work for various environments like production, staging, and testing. Azure Resource Manager offers features for tagging, auditing, and security to help you handle your resources after deployment.

Consistent Management Layer – Resource Manager offers a consistent management layer to execute tasks via Azure PowerShell, client SDKs, REST API, and Azure portal. All the Azure portal’s capabilities are available via Azure PowerShell, client SDKs, Azure REST APIs, and Azure CLI.

The below image depicts how the tools communicate with the Azure Resource Manager API. The Resource Manager service authenticates and authorizes requests once the API passes requests to it. Then, the requests are routed to the appropriate service providers by the Resource Manager.

Azure Resource Manager API

Image: Microsoft

Azure Storage

For modern data storage scenarios, Azure Storage is the cloud storage solution of Microsoft. Azure storage provides a highly scalable object store for data objects, a NoSQL Store, a messaging store for the purpose of reliable messaging, and a file system service for the cloud. The benefits of Azure Storage are as follows.

Highly available and durable – In the event of transient hardware failures, redundancy makes sure your data is secure. Data can also be replicated across geographical regions or data centers for more protection from a natural disaster or local catastrophe. In this way, data remains highly available even during an unexpected outage.

Secure – The service encrypts all the data that is written to Azure Storage. Azure storage offers you fine-grained control over who will access your data.
Scalable – In order to meet the performance and data storage needs of today’s applications, Azure storage is designed to be highly scalable. 
Managed – Any critical problems and maintenance are handled by Microsoft Azure.
Accessible – You can access Azure storage from anywhere in the world over HTTPS or HTTP

Why do you need Azure Certification?

Today, many organizations around the world are using the Azure cloud platform to drive their businesses, and this explains the importance of gaining expertise in Azure. But, you can showcase this expertise through an Azure certification. It is proof of your knowledge of Azure features, deployment, working, and management.

More Information click: Microsoft Azure Certification Path

With the demand for cloud computing increasing day-by-day and Microsoft being established as a leader in the cloud computing space, it is important to analyze what Microsoft Azure is up to and its impact in the near future. I have explained previously in this tutorial that Azure offers services in the form of IaaS. 

For most customers, the advantage of IaaS is the decreased expense and complexity of handling data center infrastructure and physical servers. There are many companies that aren’t willing to keep all their eggs in the public cloud basket. Microsoft has identified this and created a low-level infrastructure private cloud service known as Azure Stack

Azure Stack provides companies with a hybrid cloud solution. The main idea behind the creation of Azure Stack is to give companies the power of cloud services yet allowing them to hold control of their data center for real hybrid cloud agility.

Thus, Azure continues to evolve by enhancing accessibility to migration and various other services such as Virtual Machine on Linux, for example. In the near future, we will see many services that are cost-friendly and can become available for an ever-growing customer base who are looking for a simple, but trustable and powerful Azure cloud.

Azure Competition

Microsoft Azure is one of the major global providers of public cloud service. Other major providers include Amazon Web Services (AWS), IBM, and Google Cloud Platform (GCP). At present, there is no standardization among cloud capabilities or services. This implies no two providers of cloud services deliver the same service in the same manner utilizing the same integrations or APIs. This makes it difficult for a business to utilize more than one provider of cloud service to pursue a multi-cloud strategy, though third-party tools for cloud management can decrease some of these challenges. 

Azure Training

IT Industry is going through a wave of innovation and is being powered by the cloud phenomenon. Azure Online Training equips the learners with in-depth knowledge of the Azure concepts to effectively undertake various tasks as a developer, administrator, and database administrator. In Azure training, you will understand the basic and main cloud computing principles and how the implementation of these principles is done in Microsoft Azure. 

Azure vs AWS

Two of the most trusted cloud platforms by businesses (old and new, big and small) all over the world are Microsoft Azure and AWS. There is a heavy discussion going on among businesses on which cloud platform to choose between Azure and AWS, and Azure vs AWS is a commonly seen analogy today. You can compare the feature set of both cloud platforms and decide on which one is suitable for your business. More explanation on this is given here. 

Azure Security

Privacy and security are built into the Azure platform. You can get a unified view of security across all your cloud and on-premises workloads. You can locate and onboard new Azure resources automatically and apply security policies across your hybrid cloud workloads to ensure compliance along with security standards. You can also analyze, search, as well as connect security data from different sources, including firewalls and various other partner solutions.

Thus, this MS Azure Tutorial has discussed the components and features of Azure and what it can do for your business as a powerful cloud computing platform.

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Azure Study Guide

Introduction To Azure

Do More With Microsoft Azure’s Public Cloud Platform

Public cloud is a storage platform on the internet where enterprises store their database, offer computing services, and create applications for their users. Applications on public cloud are accessible by anyone wanting to use or buy the services offered. The computing services, provided by Cloud Service Providers (CSPs), might be free of cost or delivered on-demand.
 
Public cloud ecosystems are limitless scalable platforms that enable speedy deployments as compared to on-premises IT infrastructures. Every team member of an organization can make use of a cloud application from the head office, branch, or field, using a device of their choice.

If you would like to Enrich your career with a Microsoft Azure certified professional, then visit Mindmajix – A Global online training platform: “ \”Azur online training\”.  This course will help you to achieve excellence in this domain.

Public clouds, as opposed to private clouds, save enterprises from the heavy costs of purchasing, managing, and maintaining on-premises application infrastructure and hardware. CSPs undertake these IT-related tasks as per the service agreement.  

Precision implementation of right security measures by the CSP, for instance, Intrusion Prevention and Intrusion Detection Systems, make public cloud platforms as safe as private cloud systems.  

What Makes Azure Public Cloud So Special?

Besides its state-of-the-art architecture and offerings, the first thing that makes Azure Public Cloud so special is, it is offered by none other than tech-giant Microsoft Corporation. This means enterprises can leverage innovative services and features with Microsoft’s proven technical expertise.
 
Microsoft Azure’s public cloud is an enterprise-grade, open-source, flexible, cloud computing environment that enables enterprises to do more with less. The Pay-As-You-Go cloud platform, which adapts to the present IT infrastructure, allows organizations to create, deploy, and run demanding business-critical workloads and applications from anywhere, at any time.

Key Features and Offerings of Azure Public Cloud

Make Use of Any Language, Tool, or Framework

Build stunning applications with any language, including .NET, Java, and Node.js. Use a language you know to turn concepts into efficient solutions.

Work with leading-edge development tools such as Visual Studio Code and Visual Studio on Mac or PC. Write great codes with best-in-class features that increase productivity and allow you to focus.

Speed up the rollout of mobile applications by streamlining mobile development lifecycles with automated builds, cross-platform, native, and hybrid apps testing on Android and iOS.

Build High-Caliber AI-Powered Applications

Azure public cloud integrates built-in predictive analytics tools, which enable developers to create artificial-intelligence-powered experiences.

Develop intelligent bots that make quicker predictions while interacting with users. Use cutting-edge AI services and data, including Azure Bot Service, Azure Cognitive Services, Azure Cosmos DB, and Azure Databricks, to create amazing in-app experiences with human-like intellect.

Systematically Develop and Deploy Organizational Applications

With Microsoft Azure, both cloud and on-premises environments systematically work together across the entire organizational structure.

Heighten developer productivity by implementing a standard approach in creating applications with the flexibility and scalability of deployment in Azure Public Cloud, as well as on-premises infrastructure using Azure Stack.

Manage Resources, Services, and Applications Faster

Automate time-consuming and repetitive tasks, cut errors, and accelerate the delivery of applications.  

Use top-class management tools, such as REST APIs, BASH, Powershell, or Azure portal, to manage app data, resources, and services.   

Get high-level support for backup, site recovery, patching, log analytics, and application monitoring, which will secure your complete focus on app development, and not on the infrastructure.

Create and Deploy AI-Models

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Work in teams to develop, manage, and test multiple model versions in the development stage with Azure Machine Learning and Azure Databricks.

Create feature-rich artificial-intelligence-powered applications with optimized GPUs for AI scenarios and deep learning.

Use Azure Batch AI to build large-scale parallel developments. Test, debug, and deploy cross-platform applications with Microsoft Visual Studio Code.

Explore Unlimited Opportunities With Azure Public Cloud’s Open-Source Platform

Put to task your existing tools, skills, operating systems, data source, and device you use to develop applications.

Microsoft Azure offers support for a variety of language sets, familiar stacks, and data engines, including Apache Spark, MongoDB, MySQL, PostgreSQL, and Hadoop.   
 
Augment open-source applications with insights and access control through Azure Data Services and Azure Active Directory.  

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Create enriched user experiences by developing responsive web applications, native mobile applications, or engaging experiences like mixed reality and intelligent bots. 

Solve robust challenges, and launch your application with minimized effort and time through 100+ Azure services and Microsoft Visual Studio toolsets.

Develop applications using open-source platforms, such as Kubernetes.

Modernize, automate, and impregnate intelligence into applications through Azure AI, Azure Functions, and Azure data.

Connect devices, data, and applications by using 150+ Azure Logic App Services which include Dropbox, Salesforce, Twitter, Google Services, and Office 365.

Achieve Performance from a Consistent Cloud Platform

Use the power of Azure SQL Database to migrate existing applications and database to Azure Public Cloud in near-zero downtime. No need for code changes. No need to compromise security. Data remains securely encrypted.  

Frequently asked Azure Interview Questions

Secure and Optimize Hybrid Infrastructure

Protect data across cloud and on-premises platforms with Azure Site Recovery and Azure Backup.
Get enhanced control and improved visibility on both on-premises and Azure cloud environment with integrated security and management solutions.

Analyze and respond faster to threats using Azure Security Center.

Unmatched Regulatory Certifications

Microsoft is an industry leader in implementing stringent privacy and security norms. The technology behemoth is a frontrunner in meeting industry regulatory standards. Internal and external auditors such as the British Standards Institute do rigorous scrutiny to check Microsoft Azure’s compliance with international regulatory and security standards.

Microsoft’s Azure Public Cloud meets a range of industry-specific global compliance standards, including SOC 1, SOC 2, FedRAMP, HIPAA,  ISO 27001, and General Data Protection Regulation (GDPR). Further, Azure’s Public Cloud architecture complies with country-specific regulations, such as Singapore MTCS, UK G-Cloud, and Australia IRAP.

Microsoft Azure is the best public cloud environment on the market today with a rich, comprehensive feature set. From migration to development, and deployment, the hybrid cloud infrastructure offers turnkey solutions to top-end enterprises across the globe. High-level security and controls make Azure one of the most secure public cloud platforms in this emerging market.  With integrated optimization and management services, Azure is without a doubt the cloud architecture of next-generation. 

if you are interested to learn Azure and build a career in Cloud Computing? Then check out our Microsoft Azure Certification Training Course at your near Cities.

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These courses are incorporated with live instructor-led training, industry use cases, and hands-on live projects. This training program will make you expert in Microsoft azure and help help you to achieve your dream job 

 

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Overview Of Microsoft Azure Software As A Service (SaaS)

Comparison of Single-tenancy and Multi-tenancy Azure SaaS Applications

Common examples of SaaS (Software as a Service) are cloud-based programs available in Office 365, such as Microsoft Office tools, email, calendaring, etc. Software as a Service enables users to use these applications over an Internet connection.

A Software as a Service provider offers software solutions to companies and enterprises, 24/7, which their users can access using a mobile or web-based application. SaaS providers give comprehensive support to the application software, middleware, and cloud infrastructure while storing the application data in their data centers. 

Providers, such as Microsoft Azure SaaS, help organizations to get started with an application at a nominal upfront cost. Azure SaaS, as per the service agreement, manages the software and hardware, ensuring application availability and security of business-critical data.

If you would like to Enrich your career with a Microsoft Azure certified professional, then visit Mindmajix – A Global online training platform: “Azure certification course”  Course.  This course will help you to achieve excellence in this domain.

Decoding SaaS Applications

Whether you are a start-up, an established company, or a software vendor, chances are your next app will be in the cloud. When applications are in the cloud, you are adopting SaaS on a cloud architecture.

But, developing a SaaS application differs from Software as a Product (SaaP) solution in several ways. This article illustrates an important feature you need to consider when designing your Software as a Service application on the Azure cloud.

Related Page: Microsoft Azure Application Gateway

The first thing to figure out is whether to go for a single-tenancy or a multi-tenancy SaaS application. The tenancy model of an application specifies how data gets stored in the database. Both approaches have fundamental differences with their share of pros and cons. Which model to use depends on what you want your application to do.

For instance, single-tenancy SaaS applications are ideal for companies or government agencies that need specialized application instances for individual users with independent data storage. Multi-tenancy SaaS applications include multiple users, who share an application instance and the storage infrastructure the app users in the cloud.

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Summary of Crucial Points to Consider in Single-tenancy and Multi-tenancy Azure SaaS Applications 

A single-tenancy Azure SaaS application is easy to deploy and customize. The development is fast, and much less expensive, as compared to multi-tenancy SaaS applications. A single-tenancy application boosts user confidence, as most users get uncomfortable sharing information on common storage accessed by other people.

A multi-tenancy Azure SaaS application is complex, and it takes time and effort to create and deploy. Developing a multi-tenancy application, as opposed to single-tenancy, is more costly, but the app offers ample customization options to meet user demands. A multi-tenancy application, however, involves convincing the users that shared applications can still keep data safe. As customer base grows over time, the app becomes less expensive to run.

Related Topic: What is Azure Application Insights?

For software vendors, single-tenancy applications are excellent platforms to move and test an existing SaaP solution in SaaS. This approach enables software vendors to measure the demand for an application before investing money and time in designing a multi-tenancy SaaS model. Single-tenancy applications are ideal for banking and financial markets, where users demand high-level customization, trust, and top-grade security.

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A downside of the single-tenancy application is that it gets expensive when serving a sizable pool of users. Due to this, multi-tenancy SaaS applications are perfect for companies, as the cost of service goes lower as users continue to grow. Multi-tenancy models, such as the ones created with Microsoft Azure SaaS, offer high customization opportunities, important in the enterprise market.

Unless customers demand stringent security standards, a multi-tenancy SaaS application makes sense for big organizations and startups looking to serve an increasing number of users. Companies having a large user base should kick off in the cloud with multi-tenancy SaaS applications. This will lower costs in the long run and offer resources for customization. Building a multi-tenancy model from the ground up is fast and easy with Azure SaaS.

In Multi-tenancy SaaS Applications, Tenants, or Users, Are Not Just Billing Relationships –

Application developers should take into account the following –

  • Performance Optimization: Users might know they are using shared applications, but that does not mean they are ready to accept constant performance variations, breakages, and downtimes.  To create a multi-tenancy SaaS application offering optimized performance with fluctuating users is not an easy task. But, trying for performance optimization is crucial, and Azure SaaS makes this complex thing simple for application developers.
  • Application Customization: Multi-tenancy SaaS applications do not allow to change the app code, but this tenancy model offers great opportunities to customize the application behavior. Microsoft released a Developer\’s Guide with how-to instructions on integrating custom SaaS applications with Azure Active Directory. The Developer\’s Guide provides technical know-how on building customizable Azure SaaS apps for mobiles and websites.
  • Isolation of App Data: Maybe, most customers know of accessing a shared, single infrastructure, but every customer expects isolation of their work and data from other users. An important condition of a multi-tenancy approach is to make sure user data is safe. Customers should be comfortable using a shared storage infrastructure. Microsoft Azure AD controls data access through password-based single sign-on (SSO). The Azure Active Directory enables seamless password SSO, irrespective of the hosting location of SaaS applications.

 

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Application Access

SaaS applications should integrate user-based access control to grant its users access to relevant data. Azure AD’s identity and access control empower organizations with centralized management of user accounts across Azure SaaS applications. Azure Active Directory\’s password SSO governs access to Azure SaaS apps based on a user’s organizational account. 

A major concern of multi-tenancy SaaS applications is accommodating user traffic. Since many users access multi-tenancy application models at the same point in time, the chances of application crashing are high. To support heavy user traffic, the need for scalability is high too. This is one reason for more time and effort involvement in developing multi-tenancy SaaS applications.

Be its cloud services, websites, or virtual machines – no matter whatever the execution model is – the application must be scalable to bear the expected user load. With Azure SaaS, leverage the best scalability, security, elasticity, and recoverability of applications. Enjoy limitless scaling with geo-redundancy and high availability of SaaS applications only on Microsoft Azure AD. 

 

If you interested to learn Microsoft Azure and build a career in Cloud Computing Technology? Then check out our Azure Certification Training Course at your near Cities.

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These courses are incorporated with Live instructor-led training, Industry Use cases, and hands-on live projects. This training program will make you an expert in Microsoft Azure and help you to achieve your dream job.

 

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Introduction To Windows Azure Virtual Machines

In today’s cloud-computing world, the Azure Virtual Machines (VM) are becoming more popular among IT infrastructures. Microsoft Azure is one of the leading cloud providers that offer various kinds of cloud-based services to bring an integrated solution platform. 

Azure Virtual Machines are one of the on-demand computing resources that come under Infrastructure as a Service (Iaas) category in Azure. Azure services are mainly used to build and develop cloud-based solutions in various organizations. 

If you want to Enrich your career with a Microsoft Azure certified professional, then visit Mindmajix – A Global online training platform: “Azure Certification Training” .  This course will help you to achieve excellence in this domain.

Azure VM has acquired great importance in the midst of enterprises for its virtualization technology and the benefits offered by it. Go through this compact Azure Virtual Machine tutorial to gain knowledge about Azure VMs.

Azure Virtual Machine In Brief – Table of Contents

What is Microsoft Azure?

Microsoft Azure is a well-known cloud computing service which was developed by Microsoft in the year of 2006. They are widely used to build, test, deploy, and manage application, and service through Microsoft-managed data centers. 

The Microsoft Azure is offering Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). It is capable of supporting different programming languages, tools, and frameworks of both Microsoft basis and their party software.

There are two deployment models available in Microsoft Azure; one is classic deployment model and another one is Azure Resource Manager. Azure Resource Manager (Virtual Machine, SQL Database, etc.) is more famous as it enables the users to create a group of related services to deploy and maintain the resources together. 

What about Cloud Computing?

Cloud computing is the process of providing computing services such as servers, database, storage, networking, software, and still more via the internet. The main benefit of making use of cloud computing services is that you have to pay only for what you use. 

It helps the organization to maintain the infrastructural needs efficiently at low operating costs. Cloud is classified into three categories; public cloud, private cloud, and hybrid cloud. The major applications of cloud services are developing new app and services, data analysis, delivering software on demand, test, and build applications, etc. 

For more information: Cloud Computing

An Overview of Cloud Computing and Microsoft Azure:

Cloud computing is one of the blooming technologies in which you can store and access the data over the internet instead of storing it in the computer’s hard disk. In Cloud computing, data will be stored in a remote place and synchronized with other web information. 

Office 365 is a real-time example of Cloud computing in which MS Office Documents can be stored, edited, and accessed online without installing the program in the device. Nowadays, there is a plethora of cloud service platforms available to meet the demands of the organization. 

Microsoft Azure is one such cloud platform in which you can make use of Microsoft’s resource. It is similar to the cloud services offered at Google Cloud and Amazon Web Service. With the advanced tools and functionalities, Microsoft Azure is attaining a greater level in IT infrastructure.

The common versions of Azure are Microsoft Azure v1 and Microsoft Azure v2. Microsoft Azure’s cloud platform is more beneficial for the organization to save time and money on the infrastructures. The major services offered by Microsoft Azure is computing, networking, storage, databases, data analytics, Internet of Things (IoT), developer tools, etc.

Related Article: What is Azure Application Insights?

Comprehension of Cloud Models:

Generally, Cloud computing is a model for authorizing convenient and on-demand network access to a shared pool of computing resources like servers, storage, applications, network, etc. 

These kinds of resources are provisioned and delivered with less management effort or service provider interaction. The cloud model consists of three service models, four deployment models, and five essential characteristics. 

Cloud Service Models:

SaaS:

In Software as a Service, the cloud providers offer the software or applications to their clients as per their requirements. The user can access this software on any of the devices that are connected to the internet. 

For more information: Introduction To Azure SaaS

PaaS:

The clients who take the Platform as a Service acquires the ability to deploy the created application with the help of programming languages, tools and so on that are provided by the cloud provider.

However, the customer cannot take control of underlying architecture like storage, servers, operating systems, etc. PaaS is highly beneficial for developers who need a platform to deploy their applications. 

Related Article: Microsoft Azure’s Public Cloud Platform

IaaS:

In Infrastructure as a Service (IaaS) the cloud service provider delivers the customer with the virtual machine and other resources as a service. The cloud service provider abstracts the user from a physical machine, location, data partitioning and so on. 

For instance, if a user request Linux machine he can get the Linux machine without worrying about the physical machine or networking of operating system installed in it. 

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These are the three cloud service models that are offered by cloud providers. Now, take a look into the four deployment models of the cloud.

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Cloud Deployment Models:

Private Cloud:

Private Cloud infrastructures are provisioned by a particular organization that consists of huge customers. The private cloud can be owned, managed and maintained by the organization, a third party or the combination of both. The data center architecture of private clouds is present within the firewall thus offering enhanced security. Hence, they are mainly used to store confidential data safely. 

Public Cloud:

Public clouds are one of the common deployment models of cloud service. Public cloud is a large data center which offers the same kind of service to all its customers. as the service is available for everyone they are widely used to reap its complete benefits in an enterprise. real time example of cloud service is Facebook, Google, and LinkedIn. 

Community Cloud:

A community cloud is the same as that of the private cloud that paves the way to maintain the benefits of private cloud. This is suitable for the customers who tend to face security, legislative issues, efficiency demands and more. In simple words, the community cloud is a closed private cloud that provides service to a group of users. 

Hybrid Cloud:

Hybrid cloud can be defined as the combination of both public and private cloud. This kind of cloud services is utilized by large organizations. Hybrid cloud means that essential data are stored in a private cloud and its supporting services are maintained in the public cloud. The real-time examples of hybrid clouds are email, CRM, blogs and so on. 

Five Characteristics of Cloud Model:

  • On-Demand Self-Service: Cloud computing resources can be provisioned directly from the cloud service without human interaction. This resource may be storage space, virtual machine, database, and others. The organizations can make use of self-service web portals to access their cloud accounts. So, they can able to see the usage of services, provision and deprovision services. 
  • Broad Network Access: The cloud services are available over the network and they can be accessed through standard mechanisms of the customer platforms. It can also be defined as that cloud services are available over the internet and LAN in case of private clouds. 
  • Resource Pooling: Cloud computing resources are designed in such a way to support the multi-tenant model. Multi-tenancy enables multiple customers to share the same application or infrastructure even when privacy and security are maintained. The resource pooling characteristic of cloud computing means that different customers are serviced from the same physical resources. 
  • Rapid Elasticity and Scalability: Elasticity is the major characteristic of cloud computing which allows the manufacturing companies to provision and deprovision any of the cloud resources rapidly. While coming to the scalability, the cloud providers are planning for unlimited cloud and to provide any quantity at any time. 
  • Measured Service: The usage of cloud computing resources is measured as the customers have to pay the service for what they have used. The virtual server instances those are present in the cloud monitors, measured and reported by the cloud service provider.

Related Article: IS Microsoft Azure Help To Grow

What is Azure Virtual Machine?

Azure Virtual Machines are one of the on-demand computing resources or virtual machines developed by Microsoft Azure. Azure VM is based on the Infrastructure as a Service through which the users can obtain more control over the environment to customize the hosting or development environment. 

Azure Virtual machines are a vital part of hardware virtualization. They are ready-made computer systems that are designed based on the virtualization concept. The concept behind the Azure virtual machine is similar to that of the cloud platform-virtualization. 

Related Article: Latest Enhancements in Microsoft 

The major benefit of Azure VM is that the user can work on it and shut down it whenever they need. Azure Virtual Machine provides greater flexibility of virtualization without the usage and maintenance of physical hardware that activates it.  

However, you need to carry out tasks like configuring, patching and install the software that runs on it. With the help of Microsoft Azure Virtual Machine, you can able to create Linux Virtual Machines, SQL databases, application services, directory domain service, etc. In general, there are different types of Microsoft Azure Virtual Machines available.

Frequently asked Azure Interview Questions

What are the types of Azure Virtual Machines?

The common types of Azure virtual machines are 

  • General Purpose: It has a balanced CPU to memory ratio which is suitable for testing and deployment of database ranging from small to medium. 
  • Compute-optimized: This type of Azure VMs has high CPU to memory ratio. It is the best option for medium traffic web servers, network equipment, and application servers. 
  • Memory Optimized: The memory optimized Azure VMs have high memory to CPU ratio. It is good for relational database servers, medium to large caches and for memory analytics. 
  • Storage Optimized: This type of VMs posses high disk throughput and IO ideal for data warehousing, NoSQL databases, SQL, Big Data, and big transactional databases. 
  • GPU: GPU is a specialized type of Azure Virtual Machines that are targeted for heavy graphics rendering and video editing purposes. They can also be used for modern training and differencing with deep learning. The user can avail either single or multiple GPUs. 
  • High-Performance compute: These types of Azure Virtual VMs are the fastest and powerful CPU virtual machines that come with high-throughput network interfaces (RDMA).

Related Page: Cloud Computing With Microsoft Azure

Workloads of Azure Virtual Machine:

In cloud computing, the workload denotes the amount of processing that the computer has given to do a certain task within the given time. The workload consists of a certain amount of application programs processing in the computer and some users are connected to and interacting with the computer’s applications. Usually, the workload of the Azure Virtual Machine is categorized into two categories. 

Suitable Workloads:
  • The workloads that are suitable for hosting in an Azure IaaS infrastructure are 
  • Service workloads like commercial online stores
  • Unpredictable growth workloads such short-term increased sale and developing the organization
  • Retail sales during festival holidays.
Unsuitable Workloads:
  • The applications or services that are not suitable for the Azure Virtual Machine Workloads IaaS are
  • Limited growth business that can able to run the service at less cost than cloud
  • Regulated environment workloads that cannot able to move to the cloud as per the rules

Related Page: HDInsight Of Azure 

What is Virtual Network in Azure?

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Azure Virtual Network (VNet) is the process of representing your own network in the cloud platform. Azure virtual networks allow different types of Azure resources like Azure Virtual Machine to communicate with each other, the internet and on-premises network with more security. Hence, it acts as an isolated and highly-secure environment to run your virtual machines and applications.

Features of Virtual Network:

  • Isolation: Each of the networks works independently you can classify them into segments while creating a virtual network. Isolation feature allows you to configure the virtual network to make use of the own DNA servers. 
  • Internet Communication: Whenever you launch any services or applications in the Virtual machine it is capable of accessing the internet by default to enable the inbound access to specific resources. 
  • Resource Communication: Resources that come under the Azure virtual network can communicate with each other with the support of private IP addresses regardless of the resources from various subnets. 
  • Virtual Network Connectivity: The virtual network can be connected to each other. The resources in any virtual network are capable of communicating with resources that are present in any other virtual network. 
  • Filtration of Traffic: The traffic filtration feature of the virtual network helps to filter the traffic from resources by using the IP address and port.

Related Page: Introduction To Azure DevOps 

Prerequisites for creating Windows Virtual Machine on Azure Portal:

Are you decided to create Windows Virtual Machine on Azure Portal? Here are the step by step procedure to create them in a proper way. 

Before learning the creation of Windows Virtual Machine on Azure Portal you should have known about the prerequisites. 

First of all, you have to create the Microsoft Azure account to carry out the further process of installing virtual machines on the Azure portal. You must have an environment configured to support Windows or Linux VM creation. In addition to these, you have to meet up with the business requirements to create Azure Virtual Machine. 

Step 1: Visit the Microsoft Azure website and click on ‘Start-Free’ option to start your trial. Otherwise, you can get the Microsoft Azure Subscription (MSDN Subscribers). View the below image for reference. 

Microsoft Azure website

 

Microsoft Azure website

Step 2: Enter the Microsoft account credentials that are required in the page to log in.

Azure

Step 3: When you log in, you can find certain details there and then follow prompts to verify your account through the phone. 

Azure

Step 4: Once you have received the notification you have to complete the further steps. Finally, make a tick on ‘I agree’ and click ‘Sign Up’.

Azure Website

Now, your Microsoft Azure Account will be ready to use.

Microsoft Azure Account

To create the Windows Virtual Machine on Azure portal follow the steps below.

Related Page: Server-Less Architecture In Azure 

How to create an account in Windows Virtual Machine on the Azure Portal? 

Image Source: Techgenix.com and Microsoft Azure

Step 1: Select the virtual machine that is seen in the left menu panel as shown in the below image.

Microsoft Azure

Step 2: Enter the basic details such as Machine name, Resource Group, and the location where the server is hosted, etc.

Microsoft Azure

Step 3: Enter the Administrative details that you want to provide in your virtual machine. Administrative details are nothing but the username and password. 

Microsoft Azure

Step 4: After the completion of step 3, you need to set up the inbound port rules. In case of public inbound ports, set as ‘allow selected ports’ and set HTTP, HTTPS, and RDP port. Then click on the ‘Next’ button.

Microsoft Azure

Step 5: In the disks tab, choose Standard HDD for the OS disk type and click on Next. 

Step 6: Click on ‘Create’ to check the validation process. When it works you can able to see the message as seen in the given image.

Microsoft Azure

If the machine is ready and running you can see the registered machine name in the list of the virtual machine. 

Step 7: Click on the ‘More Options’ and select the ‘Connect’ option to connect the Windows RDP.

Microsoft Azure

Step 8: Save the Remote Desktop connection file as .rdp to connect the virtual machine. 

Step 9: Now, open the respective file and enter the login credentials. 

Step 10: At last, your virtual machine is ready to use

Related Page: Learn Azure And Get Certified

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Final Thoughts:

Thus, this is the vital information that you need to know about Azure Virtual Machine. Hope that you all have understood that Azure Virtual machines are the right option to deploy the cloud based solutions. So, create the Azure virtual machines to face the challenges that may occur in the large infrastructure. Make use of this Azure Virtual Machine Tutorial to Get Well-Versed in Microsoft Azure and Reap Its Complete Benefits.

If you are interested to learn Azure and build a career in Cloud Computing? Then check out our Microsoft Azure Certification Training Course at your near Cities

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These courses are incorporated with Live instructor-led training, Industry Use cases, and hands-on live projects. This training program will make you an expert in Microsoft Azure and help you to achieve your dream job.

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Why You Should Learn Azure Machine Learning?

Azure Machine Learning

Is it required to learn machine language? If so, why only Azure Machine Learning? Let us discuss about the query that revolve in our mind when we start thinking about learning machine language to start our career.

What is Machine Learning?

Machine learning is a part of AI that helps system to provide the ability to undoubtedly learn & improve from the experience without being programmed. It includes development of various programs that are used to access data and learn by themselves.

The process of learning includes algorithms and they are often categorized as supervised & unsupervised. Machine learning is very similar to that of predictive modeling & data mining, both the process requires searching with data. The primary aim is to allow systems to learn automatically without the interference of human & define actions accordingly.

What is Machine Learning?

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Below Mentioned Are Few machine Learning Methods:

  • Supervised Machine Learning Algorithms.
  • Un-Supervised Machine Learning Algorithms.
  • Semi-Supervised Machine Learning Algorithms.
  • Reinforced Machine Learning Algorithms.

Facts About Machine Learning?

  • Humans are required to still learn machine language.
  • Machine learning is about data & algorithms.
  • Unless you have huge data, should stick to simple models.
  • Machine learning can be good as data you handling to train.
  • Transformation of data is the hard work of machine learning.
  • A revolutionary advancement in Deep Learning.
  • Operation error are highly exposed in machine learning systems.
  • Machine learning can unintentionally produce a self achieving forecast.
  • AI is not going to rise up and destroy humanity.
  • C-suite using machine language at a percentage of 20.
  • Big organizations like NetFlix are using by investing heavily to ensure users engaged.
  • Benefit to health by Google Deep Learning.
  • Consumption of staff time at a percentage of 12.5 is lost in data collection.
  • Prediction – 85% of customer service will power by chatbots by 2020.
  • Prediction – Healthcare will be saved by 16 billion by 2025.
  • Prediction – Automotive industry will have grown by 48% by 2025.

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Sources of machine learning?

The below mentioned are the open-source frameworks & libraries to implement easily for Machine Learning.

  • Shogun.
  • Accord.Net Framework.
  • Apache Mahout.
  • Spark MLlib.
  • H2O.
  • Cloudera Oryx.
  • GoLearn.
  • Weka.
  • Deeplearn.js.
  • ConvNetJS.
  • TensorFlow.
  • Keras.
  • SciKit-Learn.
  • Edward.
  • Lime.

Opportunities of Machine Learning

Through pattern recognition & Computational learning of Artificial Intelligence, Machine learning has evolved. It explore the areas of algorithms, which has predictions of high on data. It has been a buzz now a days in the technology field. It is used for computing different tasks designing programs & algorithms such as to spam filtering of mail, search engine improvement, image processing & data mining etc.

Advantages Of Machine Learning?

  • Machine learning has wide range of oppurchunities in the fields of healthcare, publishing, insurance & banking & financial sectors, game playing, robot locomotion, social media.
  • Facebook & Google are using machine language developed bots to increase relevant search for individual user & display the same to them when they logged.
  • In dynamic environments machine learning is used to handle multi variety data & multi-dimensional data.
  • The resources can be efficiently utilized by machine learning via time cycle reduction.
  • Development of autonomous computers & software programs comes under practical benefits of machine learning.
  • Because of machine learning there are tools that provide quality, complex & large environments continuously.

Future Of Machine Learning?

Real-Time To Life:

Analyzing of data for online business that are produced 24/7 is a major task in future and this will be carried out by the new technologies of machine learning & AI

Eliminates Markets Greatest Enemy :

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In online marketing people search for products which results for products. Imagine your efforts were seen by the people where the people should want to see them. Machine learning has the capability reduces much of markets imprecise nature.

Future of Machine Learning

Quantum Computing :

Quantum systems are likely to be very good in manipulating high dimensional vectors of products. Classical algorithms are currently used for solving such cases takes time.

Deeper Personalization :

Users will likely receive recommendations of products and advertisements becomes effective and less accurate. This improves the user experience mostly in future.

Cognitive Services :

Intelligent features can be introduced by developers via machine learning APIs such as facial, vision, speech, emotion detection, language & speech understanding through their apps. Introduction to deeply personalized compute experiences can be done in the future for this specific field.

In which Sector Machine Language is Playing a Major Role?

Medical Industry with Machine Learning

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Hospitals use the data analysis to predict the admissions rates. Doctors can be able in predicting that how & till what long patients with fatal diseases can live. Medical ERP system are incorporating the Machine Learning technique in cost-cutting with centralised expense reports & streamlining tem for testing protocols. Soon or later the radiologists can be replaced by computer algorithms that process data.

Insurance Industry with Machine Learning

  • Insurance agencies with the same techniques are able to do the following.
  • Future Prediction – The new customers will purchase which types of insurance or coverage plans.
  • Future Prediction – Coverage changes & policy updates with the forms of insurance.
  • Fraudulent claims of insurance while establishing new solutions based on AI. 

Related Page: Skills Required for Machine Learning Jobs

What is azure machine learning?

Azure ML takes prescient investigation to an open cloud. It works on the Azure open cloud and clients don\’t have to buy any product and equipment independently. They likewise never again need to stress over support and sending. AzureML is a straightforward simplified stage, which can test, build & place predictive investigation arrangements on your information. 

Large data processing of projects can be solved through this tool due to this reason, it has become a game changer in the data modelling world. ML Studio permits non-data science end users to build data using data flows graphs & D-D gestures. It not only minimises the coding requirements but also saves the time via machine learning studio lib for sample experiments.

Machine Learning Studio

Benefits of Azure Machine Learning:

  • There is no data limit of importing data from azure storage systems.
  • Ease of paying, pay as you use & the features you use.
  • It is very user friendly and is available with a set of tools which are less restrictive.
  • The predictions by azure tool is very accurate for data and algorithms.
  • The results can be fine tuned as it is easy to import training data in this tool.
  • As a web service you can publish your data model.
  • You can connect different structures to create experiments as it is offers D-D(drag & drop) features.
  • It allows data streaming sectors like Azure Event Hubs to drain data from several of jointly connected devices.
  • You can publish data models of experiments in few minutes whereas it takes long  time for a data scientist to do.
  • Security measures manage the security of AzureML which protects data located in the cloud & offers healthy security monitoring of the habitat.

Is it free?

Azure Machine Learning is free if you have an official Microsoft Account For some extent.

Azure Machine Learning

Career opportunities of azure machine learning?

  • Many of the position including developer in cloud technologies & will be responsible for new features & maintain the features of existing that responsible for each phase of development.
  • The developer position for proactive person who are interested in architecting, analysing & implementing high quality software. 
  • One can work autonomously in implementing effective digital solutions with AzureML.
  • Developer can understand & translate customer needs that represents business & technology.

Related Page: Machine Learning with Python

Conclusion: 

Microsoft AzureML Studio is a Complete ease-of-use tool to both new & expert data scientist. The use of the tool & the integration with different sources & communities like Python & R makes it a powerful & practical tool. Hence it has the capacity to allow users to work on the related analytics. Having knowledge of the machine learning would fetch you oppurchunities into different positions. 

Frequently asked Azure Interview Questions & Answers

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Have You Heard? Microsoft Azure Is Your Best Bet To Grow

Microsoft Azure is one of the genuine contender and a genuine stage & Microsoft is completing a great job with it. The greatest preferred standpoint was auto scalability and you can scale your administrations as indicated by our prerequisites. As per various engineers, Azure is a route in front of AWS in adaptability and execution prompting Microsoft purplish blue application advancement administrations. 

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Microsoft Azure bodes well as clients as of now utilize Microsoft inside for most notwithstanding the majority of their administrations: Identity, informing, Desktop, Monitoring and so on. It is exceptionally easy to begin utilizing Azure notwithstanding to test and improvement. Essentially, every one of the items Microsoft has available can keep running on Azure. From corporate point of view Microsoft bodes well. 

A large number of the IT staff is prepared in the servers, not really in the stage or Powershell but rather the assets are plentiful. Microsoft Azure does both PaaS and IaaS and its center offerings work exceptionally well as well. It shows up as Azure is investing more energy to convey a full supper to the table as opposed to crude fixings. The two organizations are making a decent attempt to be engineer well disposed and a definitive victor will be the designers.

Prerequisites To Learn Microsoft Azure:

All things considered, since you know that Azure is Microsoft\’s Cloud Platform, yet it isn\’t altogether different from other cloud arrangements in the market. Along these lines to take in any cloud solution you have to comprehend the nuts and bolts that constitute the cloud. 

Microsoft Azure is significantly made out of PaaS and IaaS. To begin with the IaaS part of sky blue you should be minimal mindful about private cloud arrangements like:

Prerequisites To Learn Microsoft Azure

Virtual Machines – Here you additionally need little learning about server OS Linux Server & Windows information will help. 

Virtual Networks – In this domain you will not face difficulties unless you have a basic knowledge of network, in any case you should realize that Azure takes after IPv4 address space for apportioning IP address, IPv6 bolster is additionally now there. You likewise should know about how to configuration address space based on CIDR notice, how to separate it into subnets, what is a Network security gatherings, NIC, ACL and so on. Moreover the most essential thing that you should know about here is the means by which to build up a VPN from your onprem condition to the cloud. 

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Storage Capabilities – According to what and where your VHDs are put away, how your organized or unstructured information is put away in your on prem condition and connect it with the Azure stage, how MS offers you premium SSD stockpiling and how you can utilize HDD stockpiling and so forth. 

Hypervisor – you need learning about Exsi or Hyper V. Likewise recognize what Azure backings as an expansion to store your VHDs (Is it .vmdk, .vhdx, .vhd). 

Have a little learning about System Center Suite  (VMM, SCOM, SCCM and so forth).

Under Platform as a Service(PaaS) Azure offers these solutions:

  • Microsoft Azure Application Service.
  • SQL DB as PaaS DB. 
  • Other DB offerings yet facilitated on IaaS Vm.
  • Logic App, Mobile App, API Apps & Web App,.
  • A plenty of alternatives are there you simply need to make a plunge. 

Aftervsee the side of Azure which draws in you more, is it the advancement side i.e the framework designer side, go for an affirmation way. Microsoft offers the below certifications for Azure –

  • 70-487 (Developing Azure & Web Services).
  • 70-532 (Developing Azure Solutions).
  • 70-533 (Implementing Azure Infrastructure Solutions).
  • 70-535 (Architecting Azure Solutions).
  • 70-537 (Configuring & Operating a Hybrid Cloud With Azure Stack).
  • 70-774 (Perform Cloud Data Science With Azure Machine Learning).

Azure For Data Scientists:

MS Azure can be utilized as a part of information science pipeline in a few distinctive ways. The conspicuous alternative is to use AzureML. Along AzureML a data scientist can utilize his/her program and make complex machine learning tests without composing single line of code. It is visual method for outlining and running learning calculations. Likewise you can utilize R, Python and SQL for performing information alteration and highlight designing. 

As of late Jupiter notebook (once known as IPython) has been added to AzureML. So you can without much of a stretch include your dataset and compose Python code in a notebook and get a similar sentiment Anaconda with flexibility of Cloud. 

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R and Julia are the languages mostly supported by MS.
With AzureML, change from plan and test to creation is simple. As a matter of fact you require only two ticks or a couple of lines of code with a specific end goal to turn your model to completely useful web benefit.

Azure for Data Scientist

  1. In the event that you require working with Hadoop, Azure give Hdinsight which is HortonWorks conveyance of Hadoop. It incorporates Hive, MapReduce, Spark and 
  2. For data storage Azure gives DocumentDB(document database), AzureSQL, AzureBlob(blob store) & AzureTable (key-value store), notwithstanding HDFS. 
  3. By the way Azure incorporates eventHub and streamAnalytics for outlining data. 
  4. In rundown there are a few alternatives for an data scientists in Azure and some of them cover in process. 
  5. The above mentioned tools & tech can be incorporated with PowerBI & Excel.

Biggest Customers of Microsoft Azure:

These are some of the Organizations that use Microsoft Azure as a Platform:

Fujitsu, Pixar, Boeing, Samsung, 3M, Mazda, General Dynamics, EMC, BMW, LG, NBC, Trek bikes, Diebold, Symantec, NFL, Xerox, EasyJet, Travelocity, Ebay, NetApp, Dell, Apple iCloud, GE Healthcare, Aston Martin, Alaska Airlines.

Customers using Azure

Azure Cloud for building Intelligent Application:

Azure is used to create data-driven intelligent applications. Starting from image service recognition to bot, have advantage of azure services and AI to create new methods that scale & support deep learning. 

  • Build Apps with built in AI.
  • On any data, build & deploy custom AI apps and scaleup.

Azure is Logical Hybrid Cloud:

You can build and deploy whatever need to be developed in Azure, the only logical hybrid cloud on the market. Azure offers different hybrid steady or dependable apps management, development, security with identity management in data platform.

Can I Learn Azure?

You Need not require any programming knowledge to learn MS Azure, But instead of that, let’s get that azure is a platform supported with many services, you can work & do things in Azure beyond coding.

You are avail with the following services provided by azure i.e IaaS, Azure SQL, Virtual Machines, Media Services & Disaster recovery management & few others.
Having said this, you can surely get increasingly in the event that you figure out how to program in Powershell for instance, it\’s genuinely clear to learn and there are numerous sources online.

Frequently Asked Azure Interview Questions & Answers

Conclusion:

Azure has different services which includes computing, networking, storage and few high-level services like Azure SQL & Azure Bus Service. By having a certification of the above-mentioned leads to best bet to grow in your career for vast opportunities into technical world. 

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These courses are incorporated with live instructor-led training, industry use cases, and hands-on live projects. This training program will make you expert in Microsoft azure and help help you to achieve your dream job 

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Microsoft Azure Cloud Computing And Services | Microsoft Azure

Microsoft Azure is cloud computing service provider which enables developers and IT professionals to deploy, develop & manage their apps through a global network of Microsoft data centers. It not only looks after infrastructure, but also helps in managing higher level middleware, OS & During runtimes. It also support you in building efficient apps for mobile to internet solutions.

The basic plan of the cloud service provider is to allow their fundamental services to both software developers & big companies.

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According to the latest reports Microsoft Azure is the leading in Cloud Services. As it has introduced its services from past 2000’s and had not introduced Azure till 2010 or 4 years after AWS launched its cloud services.

Related Page: AWS vs Azure Feature Comparison

Azure was first introduced as “Windows Azure” and is a PaaS(Platform as a Service) for the developers to build the apps easily. After that it has introduced in deep low level infrastructure services as such amazon made and became popular.

Latest Enhancements in Microsoft 

Microsoft developer event Build

Microsoft on the first day of dev event has announced Microsoft Azure cloud applications for iOS & Android and Windows 10 version of cloud app is also in progress. The applications helps in handling different cloud services from your mobile and it supports newly announced cloud shell. With cloud mobile applications. As previously mentioned Cortana Kit allows dev team to deploy & integrate their services from Cortana. 

Quantum Computation

Microsoft is till working on how to reduce the amount of storage need to store data in making for low cost effective. The reason they are investing in it is tapes are quite expensive and require keen observation and built-in infrastructure at the data centers. This makes them expensive but not economical.

Quantum Computation

Microsoft Integrating with ERP

SAP is combining with Microsoft Azure

Microsoft Azure & SAP will exchange the deployment technologies internally as part to strengthen the cloud partnership.  SAP Hana Cloud service, SAP private cloud services are already running on Azure. And now it will migrate more in number critical business system to Azure.

Over the past few years microsoft has invested very heavily in Azure. Overall 6 data centers in three different continents has be developed to serve millions of end users. They have been built with self cooling containers, strong hardware & power efficiency mechanism with ideal features from other data centers.

Microsoft to Distribute Microsoft Cloud Against DataCenters in Africa

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Few places in world are as diverse & dynamic as africa now a days. We look forward to enormous scope for the cloud to advance innovation & support more people who are working for a business transformation & introduce new entrepreneurship opportunities in helping to solve biggest & world’s hard problems.

Microsoft is planning to deliver Cloud based services – including Office 365, Microsoft Azure & dynamics 365 from data centers at different locations around major cities, with their availability by 2018. They provide enterprise grade accuracy and performance mixed with data residency.

People around africa with their local startup’s & NGO’s can use the cloud services from the above mentioned major cities to function innovation & opportunity for africa & others. 

Data Center to Cloud

This step is a major investment to empower each organization and every person and create a cloud for global good and extension of efforts.

Endorse Leading Robotics to Enable End-Users to drive Digital Conversion:

Think about this: while most venture tech organizations have been discussing IoT and how superb it will be, not very many have cobbled together a total and reasonable technique for what clients need and requirement for IoT, not to mention a total arrangement of items, innovations, and administrations that breathe life into that system. 

Among those that have conveyed on both, Microsoft has hopped into the lead with its IoT Central, which Nadella depicted as the main SaaS offering that gives the conclusion to-end answer for associations of all sizes to deal with their whole IoT biological community crosswise over gadgets, cloud, examination, systems, and programming. 

Few of us might ask what about AI?

The recent studies lead us to have a look of Microsoft falling behind Salesforce & IBM. It can be explained with an example: In the most recent income call of real-time management sys built in the Cloud, IoT Services & AI. The result is as designed for new technologies, from IoT be mixed reality to Cloud & AI has been confirmed by the officials.

Microsoft Azure is Becoming the Trust for the People to their Workloads Why?

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In future on-premises data-centers are not worked out as it need rely on many factors such as, power related issues & natural disasters. Too many of them have emerged in cloud services now a days including Apple – iCloud which stores songs, images & few docs of users at cloud for their smartphone users with different options.

Companies like BMW, GE few more are moving their workloads to Microsoft azure Why?

Due to the following reasons::
It provides the following facilities with effective cost.

  • Disaster Recovery.
  • Flexibility.
  • Cost.
  • Ease of applications development.

Disaster Recovery

With high-speed & decentralized infrastructure of microsoft azure provides a limitless option for Disaster Recovery option and assure the application that are prior to the business can run from different sites during the recovery that leads to less time instead of days. With Microsoft Azure you can expect the disaster recovery with no limits & less time.

Flexibility

Microsoft Azure can spin up with new services and can store your data on the cloud with no time. It can be compared with a static datacenter as it requires all the hardware to be installed & guarded with external support. Where as the flexibility given by Azure will be a correct choice for organization starting or existing.

Azure Services

Cost:

Microsoft Azure not only makes it faster in process and scaleup the infrastructure, they serve at low cost also. Physical & Infrastructure devices, services like load balancers, router switches, routers of different kinds add up to thousands of rupees sometimes even more. There should be an IT Expert to monitor and work with these devices & equipments which allows a big payroll. But with  Microsoft Azure you can trim all these & can head up with turning percentages in your business.

Ease Of Application Development:

With a huge service offerings like Azure’s Scalable, Visual Studio Application Insights, Visual Studio Team Services, Storage for all frequently used data. Microsoft Azure makes Testing and Development of critical apps in a click. Movement of application from test environment to cloud in to distribute  globally at distributed network be easy.

Frequently Asked Azure Interview Questions & Answers

Conclusion:

We have now reached the bottom of the discussion about Microsoft Azure Platform, I hope you have a better understanding of advantages during the discussion and opt for the better service provider of Cloud Platform now. You can choose either Azure on-premise, or other related services both would be flexible and support you business.

If you are interested to learn Azure and build a career in Cloud Computing? Then check out our Microsoft Azure Certification Training Course at your near Cities.

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These courses are incorporated with Live instructor-led training, Industry Use cases, and hands-on live projects. This training program will make you an expert in Microsoft Azure and help you to achieve your dream job.

 

 

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