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Design and implement build and release pipelinesmediumMultiple ChoiceObjective-mapped

AZ-400 Practice Question: Design and implement build and release pipelines

Your team uses Azure DevOps to manage a monolithic .NET Framework application that is deployed to on-premises Windows servers. You plan to modernize the application by containerizing it and moving it to Azure Kubernetes Service (AKS). The existing build pipeline uses the .NET Framework build task and MSBuild. The release pipeline uses WinRM-based deployment to copy files to on-premises servers. You need to design a new CI/CD pipeline that builds a Docker image, pushes it to Azure Container Registry (ACR), and deploys it to AKS. Your solution should minimize changes to the existing codebase and leverage Azure Pipelines. What should you do?

Answer choices

Why each option matters

Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.

Correct answer & explanation

Modify the existing build pipeline by adding a 'Docker' task to build and push the image, and modify the release pipeline to use a 'Kubernetes' task for deployment.

Adding a Docker task to build and push the image to ACR, and a Kubernetes task to deploy to AKS, minimally changes the existing pipelines. Option A is incorrect because building the Docker image via a script in the release pipeline is less integrated and does not leverage the build pipeline's Docker capabilities. Option C is incorrect because creating new pipelines from scratch is unnecessary and introduces more changes. Option D is incorrect because self-hosted agents are not required to build and push to ACR or deploy to AKS.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • Keep the existing build pipeline as is, and add a script to build the Docker image in the release pipeline before deploying.

    Why it's wrong here

    Building the image in the release pipeline is not a best practice; build should be in the CI phase.

  • Modify the existing build pipeline by adding a 'Docker' task to build and push the image, and modify the release pipeline to use a 'Kubernetes' task for deployment.

    Why this is correct

    This is the correct approach because it extends the existing CI/CD flow with minimal disruption: add a Docker task to the build pipeline to compile, build, and push the container image to a registry, then replace the release pipeline's deployment step with a Kubernetes task that applies manifests to AKS. This keeps the build artifact (the image) produced during CI and consumes it in CD, which is the recommended practice.

  • Create a new build pipeline from scratch using the 'Docker' template and a new release pipeline with the 'Deploy to Kubernetes' template.

    Why it's wrong here

    Creating a new build pipeline from scratch using the Docker template and a new release pipeline with the Deploy to Kubernetes template is unnecessary and risky. The existing pipeline can be incrementally extended with a Docker task and a Kubernetes task, avoiding duplication of existing source control triggers, variable groups, and approval gates. Starting from scratch also increases the chance of misconfiguring the new pipeline and loses the history and validation of the current setup.

  • Use self-hosted agents to build the Docker image and deploy to AKS.

    Why it's wrong here

    Self-hosted agents are not necessary; Microsoft-hosted agents can build Docker images and deploy to AKS.

Visual reference

Client DHCP Server 1 Discover (broadcast) 2 Offer (IP: 192.168.1.10) 3 Request (I accept) 4 Acknowledge (lease confirmed) DORA — the four-step DHCP lease process

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Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

This AZ-400 practice question is part of Courseiva's free Microsoft certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the AZ-400 exam.