Top Answers to Microsoft Azure Interview Questions
Cloud service can convey multiple web applications in Azure, characterizing a number of parts to disseminate handling and permit adaptable scaling of your application. A cloud service comprises a minimum of one web part, as well as specialist parts, each with its own particular application documents and design. The fundamental favorable position of cloud service is the capacity to help more complex multilevel structures.
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|Features||Microsoft Azure||Amazon Web Services (AWS)|
|Analytics||Azure Stream Analytics||Amazon Kinesis|
|Backup Options||Azure Backup||Amazon Glacier|
|Compliance||Azure Trust Center||AWS CLoudHSM|
|Content Delivery Network (CDN)||Azure CDN||Amazon CloudFront|
|Data Orchestration||Azure Data Factory||AWS Data Pipeline|
|Hybrid Cloud Storage||StorSimple||AWS Storage Gateway|
|Monitoring||Azure Operational Insights||Amazon CloudTrail|
|NoSQL Database Options||Azure DocumentDB||Amazon DynamoDB|
There are three roles in Windows Azure:
- Web Role
- Worker Role
- Virtual Machine Role
Web Role: It gives a web solution that is front-end. This is like an ASP.NET application. While under facilitating, Azure gives IIS and required services.
Worker Role: It gives solutions for background service. It can run long activities.
Virtual Machine Role: The roles of both web and worker are executed on virtual machines. The Virtual Machine Roles give the client the capacity to modify the virtual machine on which the web and worker roles are running.
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Windows Azure has three principal segments: Compute, Storage, and Fabric.
A. Windows Azure Compute
Windows Azure gives a code that can be managed by the hosting environment. It gives the calculation benefit through parts. Windows Azure backs three types of roles:
- Web roles utilized for web application programming and upheld by IIS7
- Worker roles utilized for foundation handling of web roles
- Virtual machine (VM) roles utilized for moving windows server applications to Windows Azure in a simple way
B. Windows Azure Storage
It gives four types of storage services:
- Queues for informing between web parts and worker roles
- Tables for storing structural data
- BLOBs (Binary Large Objects) to store contents, records, or vast information
- Windows Azure Drives (VHD) to mount a page BLOB. These can be transferred and downloaded by means of BLOBs
C. Windows Azure AppFabric
AppFabric provides five services:
- Service bus
Windows Azure Diagnostics empowers you to gather diagnostic data from an application running in Windows Azure. Diagnostic data is used for capacity planning and evaluation.
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Azure Queues give a solid, diligent messaging between and within the services. They also highlight a very straightforward rest-based get/put/peek interface.
Bus Queues are part of a more extensive Windows Azure messaging framework that supports queuing.
Windows Azure Table storage service stores a lot of organized information. Windows Azure tables are perfect for putting away organized, non-relational data.
Table: A table is a collection of entities. Tables don’t uphold a blueprint on elements, which implies that a solitary table can contain substances that have distinctive arrangements of properties. A record can contain numerous tables.
Entity: An entity is an arrangement of properties, like a database row. An entity can be up to 1 MB in size.
Properties: A property is a name–value pair. Every entity can incorporate up to 252 properties to store data. Every entity likewise has three system properties that determine a segment key, a row key, and a timestamp.
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Scaling by including extra instances is frequently referred to as scaling out. Windows Azure likewise supports scaling up by utilizing bigger role rather than more role instances. By adding and expelling role instances to our Windows Azure application while it is running, we can adjust the execution of the application against its running costs.
An autoscaling solution reduces the amount of manual work engaged in dynamically scaling an application.
Windows Azure runs and stores the information on Microsoft data centers.
The main features are as follows:
• Websites enable the designers to assemble the sites utilizing ASP.NET, PHP, etc., and send these websites utilizing FTP, Git, etc.
• SQL database, formally known as Azure database, makes, broadens, and scales the application into the cloud utilizing Microsoft SQL Server.
• This is Microsoft’s Platform as a Service that supports multilevel applications and automated deployment.
Private clouds are those that are constructed solely for an individual enterprise. They enable a firm to have applications in the cloud while tending to concerns with respect to data security and control that is frequently ailing in a public cloud environment. Private cloud is otherwise called an internal cloud or enterprise cloud and dwells on the organization’s Intranet or hosted data center where the data is protected.
It is a NoSQL datastore which acknowledges verified calls from inside and outside the Windows Azure cloud. Windows Azure tables are perfect for putting away organized, non-relational data.
Table: A table is an accumulation of elements. Tables don’t implement a pattern on elements, which implies a solitary table can contain substances that have distinctive arrangements of properties. A record can contain numerous tables.
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To run an application, a designer gets to the Windows Azure Portal through his/her web program by logging in with a Windows Live ID. The user at that point chooses whether to create a host account for running applications, a storage account for storing data, or both.
Once the designer has a host account, he/she can utilize a Windows Azure Portal to submit applications to Windows Azure.
Azure Fabric is the principal core concept. It gives a service called Azure Fabric Controller. It is called the OS for Azure since it handles/oversees:
• All roles (processing) and resources
• Sending and activating services
• Monitoring the health of all services
• Releasing and allocating resources
• Provisioning VM, terminating, etc.
• Patches get updated for installed OS on VM in the most automated form
A hybrid cloud is a blend of internal and external cloud services, a mix of a private cloud joined with the utilization of public cloud services. This kind of cloud is most appropriate when you need to keep the classified information at your vicinity (private cloud) and consume alternate services from a public cloud.
Storage keys or access keys are utilized as a validation mode for accessing the storage services account to control data based on our prerequisites. In Windows Azure, we have an alternative to give a primary access key and a secondary access key, despite the fact that we will utilize a solitary access key to confirm our application to the storage. The primary reason to give the secondary access key is to avoid downtime to the application.
It enables users to control the distribution of user traffic of installed Azure cloud services. There are three distinctive load-balancing strategies provided by Azure. The Manager who works on traffic applies a routing policy to the Domain Name Service (DNS) questions on your domain names and maps the DNS courses to the apt instances of your applications.
Organization in SQL Azure is introduced for scalability. Federation helps both managers and developers scale information. It helps managers by making repartitioning and redistributing of information in a simpler manner. It enables developers in the layer of routing and sharing of information. It helps in routing without application downtime.
SQL Azure database is just an approach to get associated with cloud services where you can store your database into the cloud. Microsoft Azure is the most ideal approach to utilize PaaS where you can have different databases on a similar account.
Microsoft SQL Azure has a similar component of SQL Server, i.e., high accessibility, versatility, and security in the core.
Microsoft Azure SQL database has an element; it makes backups of each active database automatically. Consistently a backup is taken and geo-repeated to empower the 1-hour recuperation point objective (RPO) for Geo-Restore.
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BLOB: BLOBs offer a component for storing a lot of content or binary data, for example, pictures, audio, and visual documents. They can scale up to 200 terabytes and can be acquired by utilizing REST APIs.
Table: Tables represent storage areas across machines for information that is in the form of properties on the cloud.
Line: The sole target of a queue is to empower communication among Web and Worker Role instances. They help in storing messages that may be accessed by a customer.
A table is a kind of Azure Storage where you can store your information. BLOBs are put in a compartment and an entity in a table.
Following are the key concepts in a table:
• Tables allow structured data storage.
• There can be 0 to n number of tables in a storage account.
• Tables store information as an accumulation of elements.
• An element has an essential key and properties as a key–value pair.
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A build is the solution of an output. In Azure projects, you get the record with a .cspkg extension, that is, a Cloud Service Package is utilized for the deployment of your cloud administration.
Build Servers: In general terms, a build server is a machine where you put your deployment packages.
To utilize Team Foundation Build, you should have no less than one build machine. This machine can be a physical machine or a virtual machine.
Build Controllers: Manufacture Controllers are the component in the build system that accepts the build requests from any task inside the group project. Each build controller is dedicated to a solitary team project collection. So, there is a balanced relationship between a team project and a build controller.
Build Agents: Build Agents are components in the build system that accomplishes more processor-concentrated work.
Azure App Service is a completely managed Platform-as-a-Service (PaaS) offering for proficient developers that conveys a rich arrangement of abilities to web, mobile, and integration scenarios. Mobile apps in Azure App Service offer a very adaptable, universally accessible mobile application development platform for Enterprise Developers and System Integrators that conveys a rich set of capacities to mobile engineers.
Profiling is only a procedure for measuring the performance analysis of an application. It is normally done to guarantee that the application is sufficiently steady and can maintain overwhelming traffic.
Visual Studio gives us different tools to do it by gathering the performance information from the application that likewise helps in troubleshooting issues.
Once the profiling wizard is run, it sets up the execution session and collects the data of the sample.
The profiling reports help in:
• Deciding the longest running strategies inside the application
• Measuring the execution time of every strategy in the call stack
• Assessing memory allocation
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A cmdlet is a lightweight command that is utilized as a part of the Microsoft PowerShell environment. The cmdlets are summoned by the Windows PowerShell to automate the scripts which are in the command line. Windows PowerShell runtime additionally invokes them automatically through Windows PowerShell APIs.
Windows Azure Scheduler enables you to invoke activities, for example, calling HTTP/S endpoints or presenting a message on a storage queue on any schedule. With Scheduler, you make jobs in the cloud that dependably call services both inside and outside of Windows Azure and execute those jobs on demand, on a routinely repeating schedule, or assign them for a future date.
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To make an Azure HDInsight Cluster, open the Azure portal > click on New > select Data Services > click on HDInsight.
Hadoop is the default and native execution of Apache Hadoop.
HBase is an Apache open-source NoSQL database based on Hadoop that gives random access and solid consistency for a lot of unstructured data.
Storm is a distributed, fault-tolerant, open-source computation system that enables you to process data in real time.
Content Analytics API is a part of content examination web administrations worked with Azure Machine Learning. The API can be utilized to analyze unstructured content for tasks such as sentiment analysis and key-phrase extraction.
The API restores a numeric score between 0 and 1. Scores near 1 show positive sentiment, while scores near 0 demonstrate negative sentiment.
The upside of this API is that another new model need not be planned and prepared; the user just needs to bring the data and call the service to get the sentiment results.
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Migration Assistant tool will examine our IIS installation and recognize the sites that can be migrated to the cloud, featuring any components which can’t be migrated or are unsupported on the platform.
Once broken down, this tool will likewise create sites and databases provided under the given Azure membership.
A public cloud is utilized as a service through the Internet by users, while a private cloud is deployed within specific limits like firewall settings and is totally overseen and checked by the users dealing with it in an organization.
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The SLA ensures that, when you send two or more role instances for each role, access to your cloud service will be maintained not less than 99.95 percent of the time. Additionally, identification and re-correction activities will be started 99.9 percent of the time when a role instance’s procedure isn’t running.