The AZ-400 exam validates your ability to design and implement Microsoft DevOps solutions across the full development lifecycle. This certification, part of the Azure DevOps Engineer Expert path, is ideal for professionals who architect and manage CI/CD pipelines, source control strategies, and deployment automation using Microsoft technologies. This landing page provides a structured study roadmap, covers the core exam domains, and connects you to practical preparation resources to build confidence before test day.
Use this topic map to guide your study for Microsoft AZ-400 (Designing and Implementing Microsoft DevOps Solutions) within the Azure DevOps Engineer Expert path.
The AZ-400 exam uses multiple question types to assess both conceptual knowledge and decision-making in real-world DevOps scenarios. Difficulty increases as you progress, ensuring the exam measures practical readiness alongside theoretical understanding.
A focused study plan maps each exam domain to weekly learning goals and hands-on practice. Allocate time proportionally to the five core topics, with extra emphasis on build/release pipelines and security, which typically carry higher weight. Combine conceptual review with lab exercises to reinforce how topics interact in real projects.
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Strengthen your preparation with up-to-date resources from validexamdumps.com. These materials align to AZ-400 and cover practical scenarios with clear explanations.
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Design and implement build and release pipelines and Develop a security and compliance plan typically account for the largest share of exam questions. Allocate extra study time to pipeline configuration, artifact management, deployment gates, and secret handling. However, all five domains are tested, so maintain balanced coverage across each topic.
Source control branching decisions directly influence pipeline triggers and deployment safety. For example, a trunk-based strategy with frequent commits requires fast, automated testing in the pipeline, while a feature-branch model may use longer-running integration tests. Understanding this relationship helps you design cohesive solutions that match organizational needs and reduce deployment risk.
Practical experience with at least one CI/CD tool and familiarity with version control systems is strongly recommended. Ideally, complete labs that cover pipeline creation, release management, and artifact publishing. Hands-on work reinforces concepts and builds confidence when answering scenario-based questions that require real-world judgment.
Candidates often confuse pipeline stages with environments, misunderstand branch protection rules, or overlook security implications of artifact storage and secret management. Another frequent error is selecting a tool or approach without considering team maturity or compliance requirements. Read scenario questions carefully to identify constraints before choosing an answer.
Review weak domains identified in practice tests, then run one full-length timed mock to validate pacing and confidence. Spend time on scenario interpretation and decision-making rather than rote memorization. Get adequate sleep the night before, and on exam day, read each question twice to catch nuance and avoid careless errors.
SIMULATION
Task 3
You need to ensure that an Azure Web App named az400-38443478-matn supports rolling upgrades The solution must ensure that only 10 percent of users who connect to az400-38443478 main use updated versions of the app. The solution must minimize administrative effort.
To ensure that your Azure Web App namedaz400-38443478-mainsupports rolling upgrades and only 10 percent of users connect to the updated version of the app, you can use deployment slots with the followingsteps:
Create a Deployment Slot:
Navigate to the Azure Portal.
Go to your Web Appaz400-38443478-main.
SelectDeployment slotsin the menu.
Click onAdd Slot.
Name the slot (e.g.,staging) and if needed, clone settings from the production slot.
Configure the Traffic Percentage:
In the Deployment Slots menu, you will see a column forTraffic %.
Set the traffic percentage to10%for thestagingslot1.
This will route only 10% of the traffic to the updated version of the app in thestagingslot.
Deploy the Updated App to the Staging Slot:
Deploy yourupdated application to thestagingslot.
Test the application in thestagingslot to ensure it's working as expected.
Complete the Rolling Upgrade:
Once you're satisfied with the performance and stability of the app in thestagingslot, you can graduallyincrease the percentage of traffic until you're ready to swap with the production slot.
To swap slots, go to theDeployment slotsmenu and click onSwapwith the production slot.
By using deployment slots, you can achieve rolling upgrades with minimal administrative effort, as it allows you to test the new version on a subset of users before fully releasing it. Remember to adjust the traffic percentage and monitor the application's performance throughout the process.
During a code review, you discover many quality issues. Many modules contain unused variables and empty catch Modes. You need to recommend a solution to improve the quality o' the code. What should you recommend?
PMD is a source code analyzer. It finds common programming flaws like unused variables, empty catch blocks, unnecessary object creation, and so forth.
There is an Apache Maven PMD Plugin which allows you to automatically run the PMD code analysis tool on your project's source code and generate a site report with its results.
You need to perform the GitHub code migration. The solution must support the planned changes for the DevOps environment.
What should you use?
Woodgrove Bank plans to implement the following changes to the DevOps environment:
Migrate all the source code from TFS1 to GitHub.
The Git-TFS tool is a two-way bridge between Team Foundation Version Control and Git, and can be used to perform a migration.
https://docs.microsoft.com/en-us/devops/develop/git/migrate-from-tfvc-to-git
SIMULATION
Task 4
For Project1, you need to create a self-hosted agent pod named Pool1.
All the pipelines in Project1 must have access to Pool1.
Step 1: Understand the Requirements
You need to create a self-hosted agent for Azure Pipelines.
It will be hosted in a pod (for example, in Kubernetes).
All pipelines in Project1 should be able to use this agent pool named Pool1.
Step 2: Create the Agent Pool in Azure DevOps
Go to your Azure DevOps organization:
https://dev.azure.com/{YourOrganizationName}
In the bottom-left corner, click on the Organization settings gear icon.
In the left menu, click on Agent pools.
Click on Add pool.
Provide the following:
Pool name: Pool1
Pool type: Self-hosted
Grant access permission to all pipelines: Checked (so that all Project1 pipelines can use this pool)
Click Create.
Now you have an empty agent pool named Pool1.
Step 3: Prepare the Self-hosted Agent as a Pod
You need to deploy an Azure Pipelines agent container as a pod. Here's how to do it:
Option 1: Using Kubernetes directly (YAML deployment)
Create a Kubernetes deployment YAML file for the agent pod:
apiVersion: apps/v1
kind: Deployment
metadata:
name: azure-pipelines-agent
labels:
app: azure-pipelines-agent
spec:
replicas: 1
selector:
matchLabels:
app: azure-pipelines-agent
template:
metadata:
labels:
app: azure-pipelines-agent
spec:
containers:
- name: agent
image: mcr.microsoft.com/azure-pipelines/vsts-agent:latest
env:
- name: AZP_URL
value: 'https://dev.azure.com/{YourOrganizationName}'
- name: AZP_TOKEN
valueFrom:
secretKeyRef:
name: azure-pipelines-token
key: token
- name: AZP_POOL
value: 'Pool1'
- name: AZP_AGENT_NAME
value: 'agent-pod'
Create a Kubernetes secret for the personal access token (PAT):
kubectl create secret generic azure-pipelines-token --from-literal=token=<your-PAT>
Note:
Replace <your-PAT> with a PAT that has ''Agent Pools (Read & manage)'' scope.
Replace {YourOrganizationName} with your actual Azure DevOps organization.
Deploy the pod:
bash
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kubectl apply -f azure-pipelines-agent.yaml
Step 4: Validate the Agent Connection
Go back to Organization Settings > Agent pools > Pool1 in Azure DevOps.
You should see the agent pod connected and listed as online.
Step 5: Use the Pool in Pipelines
By default, all pipelines in Project1 will now have access to the Pool1 agent pool because you granted access during the pool creation.
In your pipeline YAML files, specify the pool name to use the self-hosted agent:
yaml
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pool:
name: Pool1
SIMULATION
You are creating a YAML-based Azure pipeline to deploy an Azure Data factory instance that has the following requirements;
* If a Data Factory instance exists already, the instance must be overwritten.
* No other resources in a resource group named Fabrikam must be affected.
How should you complete the code? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer is below
