Azure DevOps Interview Questions with explanations

This article is purely created for educational purpose. If you are a working professional or interested in DevOps career, you may find this article interesting. I hope this article will help you to get some understanding on interview questions for your DevOps job interview.

Q1. Explain what Microsoft Hosted Agents in Azure DevOps Platform is.

Microsoft hosted agents are virtual machines provided by Microsoft for use in Azure Pipelines. They come pre-configured with necessary software and tools for running CI/CD pipelines. By utilizing these agents, teams can offload the burden of setting up and managing their own build servers. They offer flexibility in scaling resources based on project requirements and support various development environments including Windows, Linux, and macOS. Leveraging Microsoft hosted agents streamlines the development process by automating tasks like building, testing, and deploying code, allowing teams to focus more on development and less on infrastructure management.

Q2. What is the difference between Azure DevOps Services and Azure DevOps Server?

Azure DevOps Services and Azure DevOps Server are both products offered by Microsoft for managing the software development lifecycle, but they have some key differences:

Deployment Model:

• Azure DevOps Services: It is a cloud-based service provided by Microsoft, offering a fully managed platform for hosting your development processes, including source code repositories, CI/CD pipelines, project management tools, and more. It is accessed through a web browser and does not require any on-premises infrastructure setup.
• Azure DevOps Server: Formerly known as Team Foundation Server (TFS), Azure DevOps Server is an on-premises solution that allows organizations to host their own instance of the Azure DevOps platform within their data center or private cloud. It provides similar functionalities to Azure DevOps Services but is installed and managed locally by the organization.

Updates and Maintenance:

• Azure DevOps Services: Microsoft handles all updates and maintenance of the platform, ensuring that users always have access to the latest features and improvements without needing to manage the underlying infrastructure.
• Azure DevOps Server: Organizations are responsible for installing updates and maintaining the Azure DevOps Server instance themselves. This includes installing patches, updates, and new versions as they are released by Microsoft.

Scalability:

• Azure DevOps Services: Being a cloud-based service, Azure DevOps Services offers scalability and flexibility in terms of resources, allowing teams to scale up or down based on their needs without worrying about infrastructure constraints.
• Azure DevOps Server: Scalability is limited to the capacity of the hardware on which the server is installed. Organizations may need to invest in additional hardware or resources to scale up their Azure DevOps Server instance as their needs grow.

Integration with Other Services:

• Azure DevOps Services: It integrates seamlessly with other Azure services, such as Azure Boards, Azure Repos, Azure Pipelines, Azure Artifacts, and Azure Test Plans, providing a comprehensive suite of tools for managing the software development lifecycle.
• Azure DevOps Server: While it can integrate with some Azure services, the level of integration may be more limited compared to Azure DevOps Services. Integration with other on-premises tools and services may require additional configuration and setup.

Q3. What are the different DevOps solution architectures? Explain in short.

In DevOps, there are several common solution architectures that organizations adopt based on their specific needs and infrastructure setup. Here are some of the different DevOps solution architectures:

Centralized Architecture:

• In this architecture, all DevOps tools and processes are centralized within a single location or team. This includes version control systems, CI/CD pipelines, issue tracking, and monitoring tools.
• It offers a straightforward setup and management, making it suitable for smaller teams or organizations with less complex infrastructure.

Decentralized Architecture:

• In contrast to centralized architecture, decentralized architecture distributes DevOps tools and processes across multiple teams or departments.
• Each team may have its own set of tools and processes tailored to its specific needs and workflows.
• It offers greater autonomy and flexibility for teams but may lead to fragmentation and inconsistency across the organization if not properly managed.

Microservices Architecture:

• In a microservices architecture, applications are decomposed into smaller, independent services that can be developed, deployed, and scaled independently.
• Each microservice typically has its own CI/CD pipeline, version control repository, and monitoring setup.
• DevOps practices are applied at the microservice level, allowing teams to iterate and release changes more rapidly.

Container-based Architecture:

• Container-based architecture leverages containerization technologies such as Docker and Kubernetes to package and deploy applications in lightweight, portable containers.
• DevOps teams use container orchestration tools to automate the deployment, scaling, and management of containerized applications.
• It enables consistent environments across development, testing, and production, facilitating smoother deployments and scaling.

Serverless Architecture:

• Serverless architecture abstracts away the underlying infrastructure, allowing developers to focus on writing code without managing servers or infrastructure.
• DevOps teams leverage serverless platforms such as AWS Lambda or Azure Functions to deploy and run functions as a service (FaaS).
• DevOps practices in a serverless architecture focus on automating deployment pipelines and monitoring application performance and scalability.

Hybrid Architecture:

• Hybrid architecture combines on-premises infrastructure with cloud-based services and resources.
• DevOps teams need to manage and orchestrate deployments across both on-premises and cloud environments, ensuring consistency and interoperability.
• Hybrid architecture offers flexibility and scalability while allowing organizations to leverage existing investments in on-premises infrastructure.

Q4. In Azure Artifacts, what's the recommended approach to achieve public access to a NuGet package with minimal configuration?

In Azure Artifacts, the recommended approach to achieve public access to a NuGet package with minimal configuration is by using the "Public" view in the feed settings. This allows you to share specific packages publicly without requiring authentication or additional setup.

Here's how to achieve this:

Navigate to Feed Settings: Go to the settings of the Azure Artifacts feed where your NuGet package is hosted.

Access Permissions: In the feed settings, locate the "Permissions" section.

Configure Public Access: Within the permissions settings, there should be an option to enable public access or set specific permissions for anonymous users. This option may be labeled as "Public feed" or something similar.

Select Packages to Share: Once public access is enabled, you can choose which packages within the feed you want to make publicly accessible. This can typically be configured at the individual package level.

Save Changes: After configuring public access settings and selecting the desired packages, save the changes to apply the configuration.

Q5. What's the minimum requirement to set up CI/CD pipelines in Azure DevOps using a Bitbucket source code repository?

To set up CI/CD pipelines in Azure DevOps using a Bitbucket source code repository, you need the following minimum requirements:

Azure DevOps Account: You must have an active Azure DevOps account.

Access to Azure Pipelines: Ensure that you have access to Azure Pipelines within your Azure DevOps organization. Azure Pipelines is a feature of Azure DevOps used for building, testing, and deploying code.

Access to Bitbucket Repository: You need access to the Bitbucket repository containing the source code that you want to build and deploy. Make sure you have the necessary permissions to clone the repository and access its contents.

Service Connection: Create a service connection in Azure DevOps to authenticate with your Bitbucket repository. This connection allows Azure Pipelines to access the source code and trigger builds based on changes. You can create a "Bitbucket Cloud" service connection and provide authentication credentials such as a personal access token or OAuth token.

Pipeline Configuration: Define your CI/CD pipeline configuration using Azure Pipelines YAML or the visual designer. Specify the steps for building, testing, and deploying your application. Configure the pipeline to trigger builds automatically whenever changes are pushed to the Bitbucket repository.

Pipeline Triggers: Configure triggers in your pipeline to automatically start CI/CD runs when new code is pushed to the Bitbucket repository. You can set up triggers based on branch filters or pull request events to ensure that builds are triggered for relevant changes.

Q6. What are the key differences between DevOps and pair programming?

DevOps and pair programming are both practices that aim to improve collaboration and efficiency in software development, but they differ in their focus and implementation:

Focus:

• DevOps: DevOps focuses on streamlining the entire software development lifecycle, from planning and coding to building, testing, and deployment. It emphasizes automation, continuous integration, continuous delivery, and collaboration between development and operations teams.
• Pair Programming: Pair programming, on the other hand, focuses specifically on the coding phase of the development process. It involves two developers working together at the same workstation, with one actively writing code (the "driver") and the other reviewing and providing feedback (the "navigator").

Scope:

• DevOps: DevOps addresses the broader aspects of software delivery, including infrastructure management, deployment automation, monitoring, and feedback loops. It aims to optimize the entire process from development to production to ensure faster and more reliable delivery of software.
• Pair Programming: Pair programming is a practice that occurs within the development phase, primarily focusing on code quality, knowledge sharing, and collaboration between team members during coding sessions.

Collaboration Model:

• DevOps: DevOps promotes collaboration not only between developers but also between development, operations, and other cross-functional teams involved in the software delivery process. It emphasizes breaking down silos, fostering communication, and sharing responsibility for the end-to-end delivery pipeline.
• Pair Programming: Pair programming involves direct collaboration between two developers working on the same piece of code. It encourages real-time communication, brainstorming, and problem-solving, leading to higher code quality and reduced defects.

Tools and Practices:

• DevOps: DevOps encompasses a wide range of tools and practices, including version control, continuous integration, continuous delivery, infrastructure as code, monitoring, and automated testing. It emphasizes the use of automation and toolchains to streamline processes and reduce manual effort.
• Pair Programming: Pair programming relies on human interaction and does not require specific tools beyond a shared workstation and development environment. It focuses more on interpersonal communication, code review, and knowledge transfer between team members.

While both DevOps and pair programming promote collaboration and efficiency in software development, they differ in their focus, scope, collaboration models, and the tools and practices involved. DevOps addresses the entire software delivery lifecycle with a focus on automation and collaboration across teams, while pair programming specifically targets the coding phase with direct collaboration between developers.