Azure is one of the leading cloud platforms globally, and the demand for professionals with Azure skills is continually increasing. On that note, preparing for the interview is the first step toward your ideal Azure job. This article covers 50+ common Azure interview questions you should be prepared to answer. Familiarity with these Azure questions can increase your chances of success in the interview.
Are you trying to make your next move in cloud computing or keep up with your contemporaries, then knowing the ins and outs of cloud computing is almost mandatory to crack the Azure interview.
We at Mindmajix, have specially compiled the most frequently asked Microsoft Azure Interview Questions from industry-renowned Azure experts that will set you apart in the interview process.
But before starting with the interview questions, I would like to draw your attention towards the Azure revolution in the tech world with the following statistics:
Therefore, if you want to boost your career in the cloud, Azure is the technology you need.
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By creating a cloud service, you can deploy a multi-tier web application in Azure, defining multiple roles to distribute processing and allow flexible scaling of your application. An Azure cloud service consists of one or more web roles and/or worker roles, each with its own application files and configuration.
Azure Websites and Virtual Machines also enable web applications on Azure. The main advantage of cloud services is the ability to support more complex multi-tier architectures.
A cloud service role is comprised of application files and a configuration. A cloud service can have two types of roles.
To show your cloud service’s dependencies on other resources, such as an Azure SQL Database instance, you can “link” the resource to the cloud service. In the Preview Management Portal, you can view linked resources on the Linked Resources page, view their status on the dashboard, and scale a linked SQL Database instance along with the service roles on the Scale page. Linking a resource in this sense does not connect the resource to the application; you must configure the connections in the application code.
A cloud service is scaled out by increasing the number of role instances (virtual machines) deployed for a role. A cloud service is scaled in by decreasing role instances. In the Preview Management Portal, you can also scale a linked SQL Database instance, by changing the SQL Database edition and the maximum database size, when you scale your service roles.
A web role provides a dedicated Internet Information Services (IIS) web-server used for hosting front-end web applications.
Applications hosted within worker roles can run asynchronous, long-running, or perpetual tasks independent of user interaction or input.
A role instance is a virtual machine on which the application code and role configuration run. A role can have multiple instances, defined in the service configuration file.
The guest operating system for a cloud service is the operating system installed on the role instances (virtual machines) on which your application code runs.
[ Related Article: Benefits of Azure Automation ]
Three components are required in order to deploy an application as a cloud service in Azure:
Azure offers two deployment environments for cloud services: a staging environment in which you can test your deployment before you promote it to the production environment. The two environments are distinguished only by the virtual IP addresses (VIPs) by which the cloud service is accessed.
In the staging environment, the cloud service’s globally unique identifier (GUID) identifies it in URLs (GUID.cloudapp.net). In the production environment, the URL is based on the friendlier DNS prefix assigned to the cloud service (for example, myservice.cloudapp.net).
The cloud service definition file (.csdef) defines the service model, including the number of roles.
The cloud service configuration file (.cscfg) provides configuration settings for the cloud service and individual roles, including the number of role instances.
The service package (.cspkg) contains the application code and the service definition file.
A cloud service deployment is an instance of a cloud service deployed to the Azure staging or production environment. You can maintain deployments in both staging and production.
[ Related Article: Azure Data Studio vs SSMS]
Azure Diagnostics is the API that enables you to collect diagnostic data from applications running in Azure. Azure Diagnostics must be enabled for cloud service roles in order for verbose monitoring to be turned on.
The Azure Compute SLA guarantees that, when you deploy two or more role instances for every role, access to your cloud service will be maintained at least 99.95 percent of the time. Also, detection and corrective action will be initiated 99.9 percent of the time when a role instance’s process is not running.
Cloud computing is the use of computing resources (hardware and software) that are delivered as a service over a network (typically the Internet).
Cloud computing providers offer their services according to three fundamental models: Infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS) where IaaS is the most basic and each higher model abstracts from the details of the lower models.
Cloud deployment models describe how cloud services are offered to users. The major deployment models associated with cloud computing are listed below:
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The major benefits offered by the traffic manager in Azure are:
In Azure, break-fix issues are referred to as technical problems. It is an industry term used when “work involved in supporting a technology when it fails its normal course of action”.
Microsoft offers Azure active directory(Azure AD), a fully managed multi-tenant service that implements identity and access capabilities for applications running in Azure as well as applications operating in the on-premises environment. It is used for providing single sign-on and multi-factor authentication to help users from protecting attacks.
[ Related Article: What is Azure Arc? ]
Availability Set is a logical grouping capability majorly employed for separating VM sources from each other when they are deployed. They are used for building reliable cloud solutions.
The VMs placed in the Availability set are run across various physical servers, storage units, compute racks, and network switches in Azure. If any failure occurs, only VMs subset is affected, and the overall solution stays operational.
Lookup transformation is used for performing lookups by combining data in input columns with columns in the reference dataset. The reference table can be a new table or an existing table, view, or the SQL result query result.
The web applications that can be deployed with Azure are ASP.Net, PHP, and WCF.
Azure Resource Manager is used for provisioning management and deployment services in Azure. The management layer is used for updating and deleting resources in Azure subscription. You can organize related resources in resource groups and deploy your resources with JSON templates.
A Fault domain represents the group of the underlying hardware that shares a common power source and network switch. Every fault domain comprises some racks and each contains a virtual machine. When you create virtual machines within an availability set, your virtual machines are automatically distributed across the fault domains in the Azure platform.
The updated domain represents the group of the underlying hardware that can be rebooted or can withstand maintenance at the same time. When you create virtual machines within an availability set, your virtual machines are automatically distributed across the update domains by the Azure platform. This ensures that at least one instance of your applications always remains working when the Azure platform is under periodic maintenance.
Two types of queue mechanisms are supported by Azure: Storage queues and Service Bus queues.
Azure Service Fabric is a distributed platform designed by Microsoft to facilitate the development, deployment, and management of highly scalable and customizable applications. The applications created in this environment consist of detached microservices that communicate with each other through service application programming interfaces.
Azure Redis Cache is an open-source and in-memory Redis cache that helps web applications to fetch data from a backend data source into cache and server web pages from the cache to enhance the application performance. It provides a powerful and secure way to cache the application’s data in the Azure cloud.
Majorly, two types of services you can build on Service Fabric:
A collective name of Microsoft’s Platform as a Service (PaaS) offering which provides a programming platform, a deployment vehicle, and a runtime environment of cloud computing hosted in Microsoft data centers.
All three roles (web, worker, VM) are essentially Windows Server 2008. Web and Worker roles are nearly identical: With Web and Worker roles, the OS and related patches are taken care of for you; you build your app’s components without having to manage a VM
The former is Microsoft’s PaaS offering including Windows Azure, SQL Azure, and AppFabric; while the latter is part of the offering and Microsoft’s cloud OS.
The compute emulator is a local emulator of Windows Azure that you can use to build and test your application before deploying it to Windows Azure.
In the Windows Azure cloud fabric is nothing but a combination of many virtualized instances which run the client application
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TWO. And if we do so, the role would have external connectivity at least 99.95% of the time.
It is a command-line tool that generates a service package file (.cspkg) and prepares an application for deployment, either to Windows Azure or to the compute emulator.
It is a command-line tool that deploys a packaged application to the Windows Azure compute emulator and manages the running service.
It is the operating system that runs on the virtual machine that hosts an instance of a role.
[ Related Article: Learn Azure Key Vault ]
Using AutoScaling Application Block
A public cloud is used as a service via the Internet by the users, whereas a private cloud, as the name conveys is deployed within certain boundaries like firewall settings and is completely managed and monitored by the users working on it in an organization.
The Transient Fault Handling Application Block supports various standard ways of generating the retry delay time interval, including fixed interval, incremental interval (the interval increases by a standard amount), and exponential back-off (the interval doubles with some random variation).
static RetryPolicy policy = new RetryPolicy(5, TimeSpan.FromSeconds(2), TimeSpan.FromSeconds(2)); policy.ExecuteAction(() => { try { string federationCmdText = @”USE FEDERATION Customer_Federation(ShardId =” + shardId + “) WITH RESET, FILTERING=ON”; customerEntity.Connection.Open(); customerEntity.ExecuteStoreCommand(federationCmdText); } catch (Exception e) { customerEntity.Connection.Close(); SqlConnection.ClearAllPools(); } });
Windows Azure Diagnostics enables you to collect diagnostic data from an application running in Windows Azure. You can use diagnostic data for debugging and troubleshooting, measuring performance, monitoring resource usage, traffic analysis and capacity planning, and auditing.
HTTP://WWW.WINDOWSAZURE.COM/EN-US/DEVELOP/NET/COMMON-TASKS/DIAGNOSTICS/
BLOB stands for Binary Large Object. Blob is a file of any type and size.
The Azure Blob Storage offers two types of blobs:
URL format: Blobs are addressable using the following URL format:
Block blobs are comprised of blocks, each of which is identified by a block ID.
You create or modify a block blob by uploading a set of blocks and committing them by their block IDs.
If you are uploading a block blob that is no more than 64 MB in size, you can also upload it in its entirety with a single Put Blob operation. -Each block can be a maximum of 4 MB in size. The maximum size for a block blob in version 2009-09-19 is 200 GB or up to 50,000 blocks.
Page blobs are a collection of pages. A page is a range of data that is identified by its offset from the start of the blob. To create a page blob, you initialize the page blob by calling Put Blob and specifying its maximum size.
-The maximum size for a page blob is 1 TB. A page written to a page blob may be up to 1 TB in size.
What to use block blobs for streaming video. “The application must provide random read/write access” which is supported by Page Blobs.
Windows Azure supports two types of queue mechanisms: Windows Azure Queues and Service Bus Queues.
HTTP://WCFPRO.WORDPRESS.COM/2010/12/06/COMMUNICATION-IN-WINDOWS-AZURE/
HTTP://MSDN.MICROSOFT.COM/EN-US/LIBRARY/WINDOWSAZURE/HH767287.ASPX
To promote a deployment in the Azure staging environment to the production environment, you can “swap” the deployments by switching the VIPs by which the two deployments are accessed. After the deployment, the DNS name for the cloud service points to the deployment that had been in the staging environment.
Minimal monitoring, which is configured by default for a cloud service, uses performance counters gathered from the host operating systems for role instances (virtual machines). Verbose monitoring gathers additional metrics based on performance data within the role instances to enable a closer analysis of issues that occur during application processing. For more information
Windows Azure will handle the load balancing for all of the instances that are created. The VM sizes are as follows:
The Windows Azure Table storage service stores large amounts of structured data.
The service is a NoSQL data store that accepts authenticated calls from inside and outside the Windows Azure cloud.
Windows Azure tables are ideal for storing structured, non-relational data
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Madhuri is a Senior Content Creator at MindMajix. She has written about a range of different topics on various technologies, which include, Splunk, Tensorflow, Selenium, and CEH. She spends most of her time researching on technology, and startups. Connect with her via LinkedIn and Twitter .