Devops Interview Questions And Answers For Experienced – Are you a software developer or cloud professional? Looking for potential Azure DevOps Interview questions to ask? Want to leave no stone unturned while preparing for the same? Well done then. You are in the right place. We will make things easy for you. In this article, we have put together some of the best Azure DevOps interview questions for you. Make sure you go through them at least once before your interview.
Azure DevOps is a Software as a Service (SaaS) platform provided by Microsoft. It enables developers and DevOps teams to develop and deploy DevOps applications through end-to-end DevOps tools. It also provides a collaborative and integrated environment that supports continuous integration, Git, and agile tools for scheduling and tracking work. A culture of process and collaboration brings together project managers, developers and contributors to develop software.
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Although it was launched in 2006 as Visual Studio Team System, the stable release only happened in October 2018 as Azure DevOps.
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This Azure DevOps service is used to manage software projects. The various capabilities it offers include reporting, dashboards, kanban and scrums. Backlogs, requests, dashboards, sprints, and work items are the main features of the Azure board.
It is considered one of the most important cloud services. With Azure Pipelines, project code can be built as well as tested automatically. With the help of basic language and projects, it does its job effectively. With this feature, project code is also shared with other clients.
This version control system is used to manage code and various versions using the development life cycle. It can also track multiple code changes across different teams. The change list can then be used for coordination and collaboration between teams in the future. Centralized version control as well as distributed version control are key features. An example of distributed version control is Git. And an example of centralized version control is TFVC.
Azure Artifacts is an extension that makes it easy to install, discover, and deploy npm, NuGet, and Maven packages to Azure DevOps. Package management becomes a seamless process within existing workflows due to deep integration with other endpoints such as Build.
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This Azure DevOps service is used to manage all test solutions. Exploratory testing, manually scheduled testing and customer testing are provided in this service. Test tracking, as well as a repository of stakeholder feedback, is maintained by its extensive browser. Manual and test trails are important techniques for product development because they are considered the reason for automated testing.
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CI, CD, or both are allowed with multistage pipelines in a single YAML pipeline code. Easy to maintain and easy to check our current deployment stage is one of the many benefits it provides.
Pull requests are used to review and commit code to a Git project. Pull requests allow the team to review the code and also provide feedback on it. Either a feature or topic branch, and a fork, can be a source of pull requests.
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We can separate risky, secret, and experimental changes from our source code base with the help of forks. A fork is a new copy of a collection of code that includes commits, branches, and files. A fork is like a repository that has been cloned and pushed to a new and empty repository. Files and fork branches cannot be shared with the original codebase after the fork is created. But pull requests can take them.
Atlassian Jira is also a popular lifecycle management (ALM) tool. This is of particular interest to agile teams. It is originally a bug tracking tool. But now it has evolved into a more comprehensive tool that now contains many software development and management tools. The main purpose of this tool is to keep everything straight. Azure DevOps, on the other hand, not only tracks but also extends to builds and development.
A role is a type of server that helps us achieve a common goal. It is managed and booted as a virtual machine.
It is a logical group of hardware that can share the same power source and network. It is used to gather local data centers. This fault domain is automatically allocated by the Azure platform when the VM is provisioned using the available collection. This approach limits network outages, physical hardware failures, etc.
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It is a logical group of hardware that can be restarted as well as saved at the same time. This updated domain is automatically allocated when VMs are allocated using available pools. This ensures that our application instances as well as Azure platform implementations are serviced regularly. Only one update order can be restarted at a time.
This feature provides a safe and easy way to select and connect to web applications. Similar to the availability of SaaS applications can also be available in Azure. VPN is not required to change the network infrastructure.
Our cloud network delivery is all about VNet. Our distributed cloud instances are isolated from the rest of the resources with the help of VNets.
Self-hosted agents contain a number of features that define different feature ranges. Name-value pairs are called capabilities. These are called system capabilities when they are automatically detected by the agent software. On the other hand, they are called user features when defined by us. System features such as operating system name, machine name, and other installed software are detected by the agent software.
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6. What azure cli command is used to run the pipeline? 7. Developed a self-hosted agent in the Azure pipeline.
A self-hosted agent allows us to create ourselves as well as manage our workplace. We choose a self-hosted agent if we want more access to install software depending on our needs and deployment. In addition, speed can be increased with machine-level caches and configuration consistency from run to run.
It’s Microsoft’s standard agent that does the job. From resource allocation to installation and maintenance, everything is done when we choose this agent hosted by Microsoft.
It is used for access control. It helps employees to access certain products and services on our network. Some prime examples include Salesforce.com and Twitter. Built-in support for active in the gallery provided by this active directory.
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This distributed systems platform facilitates the package, scale management, deployment, and reliability of microservices. Cloud application development and management can also be done with it. Therefore, developers can focus more on critical implementation tasks.
It is an open source data structure. It works as a database and cache. Azure Redis cache is built on the popular open source Redis cache. Secure access of Azure applications is provided with the help of this feature. Data structures like strings, collections, and hashes and queries are handled by it.
Containers are used to package software code, dependencies, and configurations into an object or entity. There can be multiple containers running and sharing an operating system on the same machine. This enables fast, consistent and reliable deployment. The following containers are supported by Azure DevOps:
The Scrum Master is always on the lookout to remove roadblocks, resolve bottlenecks, and other blocking issues that arise during the sprint. They constantly ensure the improvement of the team. They can be called part team members, part cheerleaders and part coaches.
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Some of the main Azure DevOps alternatives are GitHub, Jenkins, GitLab, Jira, TeamCity, Bitbucket, Jira, Octopus Deploy and Amazon Web Services.
Azure DevOps Server is an in-house platform based on SQL Server. Generally, companies choose an on-premise platform when there is a need to access SQL Server reporting services integrated with Azure DevOps tools and data.
Azure DevOps service, on the other hand, is a Microsoft Azure cloud service. It offers reliable and globally accessible services.
Azure DevOps engineers are responsible for designing and implementing scalable, robust, realistic and practical cloud solutions that will work for customers.
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Azure DevOps projects are essential to gain experience. This helps with Git repositories and code availability for Azure DevOps continuous delivery as well as designing integration pipelines.
DevOps and agile are used simultaneously to evolve processes beyond expectations and adoption. We can constantly track progress, infatuation and the process of visualization. And we will be provided quick alerts in real time. We can choose the process according to our requirements by analyzing the data. Therefore, continuous monitoring is very helpful.
Azure DevOps is easy to learn as
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