11 Azure Interview Questions and Answers

Top 11 Azure Interview Questions and Answers Just for You

Are you preparing for a Microsoft Azure interview? We have compiled a list of the top 11 Azure interview questions and answers you must prepare for the interview.

Microsoft Azure is one of the most popular cloud providers throughout the world. It has an estimated market share of 20.3%, with over 70 compliance offerings and nearly 120,000 users each month. With that significant amount of subscribers and market share, this single cloud-providing platform has become the 2nd most popular cloud-based service.

So if you’re getting ready to score that long-awaited Microsoft Azure job, we would like to help you with our 11 Azure interview questions and answers you may expect to receive at the interview.

Top 11 Microsoft Azure Interview Questions and Answers

The Azure interview questions can be divided into three major categories: General, Basic, and Advanced. Let’s begin with the basic questions.

Basic Azure Interview Questions

What is meant by Microsoft Azure and Azure diagnostic?

Microsoft Azure is a cloud computing platform and infrastructure created to build, deploy, and manage applications and services through a global network of Microsoft-managed data centers. Its services include computing power, storage options, networking, data management, analytics, artificial intelligence, and more.

On the other hand, Azure Diagnostics is an Azure feature that enables you to collect diagnostic data from various Azure resources, including Azure Virtual Machines, Cloud Services, and Web Apps. 

What is meant by cloud computing?

Cloud computing refers to delivering computing services—including servers, storage, databases, networking, software, analytics, and intelligence—over the Internet (“the cloud”) to offer faster innovation, flexible resources, and economies of scale.

What is the scalability of cloud computing, and how to achieve it?

Scalability in cloud computing refers to the ability of a system, network, or application to handle a growing amount of work or its ability to be easily enlarged to accommodate that growth. You may achieve it in two ways:

  • Vertical Scaling – adding more resources to a single machine, such as increasing the amount of memory or storage.
  • Horizontal Scaling – the process of adding more machines to a system, allowing the system to handle more requests 

What are the advantages of cloud computing?

The several advantages of cloud computing include:

  • Cost savings: Cloud computing is more cost-effective than maintaining on-premises infrastructure
  • Scalability: Cloud services can easily be scaled up or down as needed
  • Accessibility: Cloud services can be accessed from anywhere with an internet connection
  • Reliability: Cloud providers typically have large and robust infrastructure, leading to high reliability
  • Security: Cloud providers offer a higher level of protection for data and applications 
  • Automation: Cloud providers offer tools and services that make it easy to automate

General Azure Interview Questions

What do you mean by a domain?

A domain is a unique name used to identify a website or a group of websites on the Internet. It has two parts: 

  • The top-level domain (TLD): Such as .com, .org, .net, etc.
  • The second-level domain (SLD): Such as example in example.com.

What is a fault domain?

It is a group of resources or components with a common point of failure. Fault domains are used to identify and isolate potential failure points in a system so that if one element within a fault domain goes down, it does not affect the entire system.

Differentiate between the Windows Azure bus queues and Windows Azure queues.

Windows Azure Queues and Windows Azure Service Bus Queues are both messaging systems provided by Microsoft Azure, but they have some key differences:

Windows Azure Queues:

  • Simple queue service that stores messages in a queue.
  • Messages are stored in the cloud and retrieved by a client using the Azure Storage SDK.
  • Best suited for simple workflows where messages must be reliably stored and retrieved.

Windows Azure Service Bus Queues:

  • A more advanced messaging system that provides additional features such as automatic duplicate detection, dead-letter queues, and sessions.
  • Messages are stored in the cloud and retrieved by a client using the Azure Service Bus SDK.
  • Best suited for more complex workflows where additional messaging capabilities are required.

In summary, Azure Queue Storage is focused on storing and retrieving messages, while Service Bus Queue is focused on messaging and communication patterns between applications.

Advanced Azure Interview Questions

What will you do in case of a drive failure?

In case of a drive failure, the first step would be to identify the failed drive by checking the system logs and monitoring tools. Once the failed drive is identified, the following steps can be taken to mitigate the impact of the drive failure:

  • Replace the failed drive with a new one as soon as possible. It can be done by using tools like hot-swap, which allows the replacement of a failed drive without shutting down the system.
  • Run a disk check on the new drive to ensure that it is working properly and to fix any errors that may have occurred during the drive failure.
  • Rebuild the RAID array, if the system is using RAID, to recover the data from the failed drive.
  • Run a full backup of the system to ensure that all data is properly backed up and can be restored in case of further failures.
  • Monitor the system to ensure that all data is properly accessible and that there are no additional failures.
  • If data loss is suspected, the data recovery process should be initiated as soon as possible.

It’s important to remember that the above steps are general, and the actual process may vary depending on the specific system, RAID configuration, and data recovery software. It’s also important to remember to keep all the system’s software and hardware updated and maintain regular backups in case of failures.

What should be done in case of a service failure?

In case of a service failure, the following steps can be taken to mitigate the impact and restore the service as quickly as possible:

  • Identify the root cause of the service failure by reviewing system logs, monitoring tools, and error messages.
  • Isolate the affected service and its dependencies. If the service is a part of a distributed system, it’s important to identify which services are impacted and which are not.
  • Attempt to restore the service by restarting it or by rolling back to a previous version if the failure is caused by a recent change.
  • If the service cannot be restored, implement a failover mechanism to route traffic to a backup service or a standby instance.
  • Monitor the service and its dependencies to ensure that they are working as expected.
  • Implement a post-mortem analysis to understand the cause of the failure and prevent it from happening again in the future.
  • Communicate the status of the service and the progress of the recovery efforts to all stakeholders, including customers, partners, and internal teams.
  • If data loss is suspected, the data recovery process should be initiated as soon as possible.

It’s important to remember that the above steps are general, and the actual process may vary depending on the specific service, system, and infrastructure. It’s also important to keep all the system’s software and hardware updated and maintain regular backups in case of failures. Additionally, having a disaster recovery and incident management plan in place can help minimize service failure’s impact.

What is the probable cause for the client getting disconnected from the cache with the service state?

There could be several reasons a client may get disconnected from the cache with the services state. Some of the common causes include:

  • Network issues: A temporary loss of connectivity or high latency could cause the client to get disconnected from the cache.
  • Cache server failure: If the cache server goes down or experiences a failure, clients may be unable to connect to it and will be disconnected.
  • Cache server overload: If the cache server is handling too many requests or is running low on resources, it may not be able to keep up with the demand, and clients may be disconnected.
  • Configuration issues: Incorrect cache server configuration or client configuration settings can also cause clients to be disconnected.
  • Security issues: Firewall rules or other security measures could block client connections to the cache server.
  • Memory issues: If the cache server runs out of memory, it may start evicting items from the cache, and clients with those items may get disconnected.
  • Expiration of cache items: If a client is disconnected from the cache and the items that it was using have expired, it will not be able to access them anymore.

It’s important to identify the exact cause of the client’s disconnection in order to take the appropriate steps to resolve the issue and prevent it from happening again in the future. It can be done by analyzing system logs, monitoring tools, and error messages and checking the configuration and security settings of the cache server and client.

Give a clear overview of the API in Azure.

An API (Application Programming Interface) in Azure is a way for different systems and applications to communicate and exchange data with each other. Azure provides a variety of tools and services that can be used to create, publish, and manage APIs.

  • Azure API Management: This service allows you to create, publish, and manage APIs in a secure and scalable manner. It provides features such as rate limiting, caching, and analytics to help improve the performance and security of your APIs.
  • Azure Functions: This service allows you to create serverless functions that can be triggered by various events, including HTTP requests. These functions can be used to create APIs that can be triggered by web or mobile applications.
  • Azure Logic App: This service allows you to create workflows that can be triggered by events, including HTTP requests. These workflows can be used to create APIs that can be triggered by web or mobile applications.
  • Azure Event Grid: This service allows you to build event-driven architectures by routing events from various sources to different services. It can be used to create APIs that can be triggered by events such as changes in a database or the creation of a new file in a storage account.
  • Azure Service Fabric: This service allows you to build, deploy, and manage microservices-based applications. It can be used to create APIs that are implemented as microservices and can be deployed across multiple instances.
  • Azure Kubernetes Service: This service allows you to deploy and manage containerized applications on Azure. It can be used to create APIs that are implemented as containers and can be deployed across multiple instances.

Overall, Azure offers a wide range of tools and services that can be used to create, publish, and manage APIs. These tools and services can be used to create simple RESTful APIs or more complex event-driven architectures. They also offer features that help improve the performance and security of your APIs.