AZ-400 Microsoft Azure DevOps Solutions Free Practice Exam Questions (2025 Updated)

Box 1: User Flows

The User Flows tool visualizes how users navigate between the pages and features of your site. It's great for answering questions like:

How do users navigate away from a page on your site?

What do users click on a page on your site?

Where are the places that users churn most from your site?

Are there places where users repeat the same action over and over?

Box 2: Users

Counting Users: The user behavior analytics tools don't currently support counting users or sessions based on properties other than anonymous user ID, authenticated user ID, or session ID.

Box 3: Impact

Impact analyzes how load times and other properties influence conversion rates for various parts of your app. To put it more precisely, it discovers how any dimension of a page view, custom event, or request affects the usage of a differentpage view or custom event.

Monitor compute and app services: Compute & apps include the App Services tab, which App services: list of your App service environments and current security state of each.

Recommendations

This section has aset of recommendations for each VM and computer, web and worker roles, Azure App Service Web Apps, and Azure App Service Environment that Security Center monitors. The first column lists the recommendation. The second column shows the total number of resources that are affected by that recommendation. The third column shows the severity of the issue.

Conditional Access is a capability of Azure Active Directory. WithConditional Access, you can implement

automated access control decisions for accessing your cloud apps that are based on conditions.

Conditional Access policies are enforced after the first-factor authentication has been completed.

Use Azure SQLDatabase Deployment task in a build or release pipeline to deploy to Azure SQL DB using a DACPAC or run scripts using SQLCMD.

Azure Key Vaultprovides a way to securely store credentials and other keys and secrets.

The Set-AzureKeyVaultSecret cmdlet creates or updates a secret in a key vault in Azure Key Vault.

By creating a feed view named "release" and setting it as the default view, packages that are published to the feed will not be immediately available for consumption. After the 9pm packages are tested successfully,you can configure a release pipeline that promotes a package to the @release view. This ensures that only tested packages are available for consumption and minimizes development effort as it doesn't require any additional steps to be taken by the consumerof the feed.

There are three types of Application Insights availability tests:

URL ping test: a simple test that you can createin the Azure portal.

Multi-step web test

Custom Track Availability Tests

Note: After you've deployed your web app/website, you can set up recurring tests to monitor availability and responsiveness. Azure Application Insights sends web requests to yourapplication at regular intervals from points around the world. It can alert you if your application isn't responding, or if it responds too slowly.

You can set up availability tests for any HTTP or HTTPS endpoint that is accessible from the public internet. You don't have to make any changes to the website you're testing. In fact, it doesn't even have to be a site you own. You can test the availability of a REST API that your service depends on.

Step 1: Navigate to Project Settings

Navigate to Azure DevOps:

Go to Azure DevOps and sign in with your credentials.

Select Your Project:

Choose Project1 from your list of projects.

Access Project Settings:

In the left-hand menu, scroll down and select Project settings.

Step 2: Configure Retention Policies

Navigate to Pipelines Settings:

Under Pipelines, select Settings.

Set Retention Policies:

In the Retention section, set the number of days to keep artifacts, symbols, and attachments to 60 days.

Ensurethat the retention policy is applied to all relevant pipelines and branches.

Save Changes:

Click on Save to apply the retention policy1.

By following these steps, you will have successfully configured theretention policy to retain artifacts, symbols, and attachments for 60 days in Project1

Step 1: Initialize the Default Main Branch

Navigate to Azure DevOps:

Go to Azure DevOps and sign in with your credentials.

Select Your Project:

Choose Project1 from your list of projects.

Initialize the Main Branch:

Go to Repos > Files.

If themain branch does not exist, you will see an option to initialize it. Click on Initialize and follow the prompts to create the main branch.

Step 2: Implement an Approval Process for the Main Branch

Navigate to Branch Policies:

Go to Repos > Branches.

Findthe main branch and click on the … (ellipsis) next to it.

Select Branch policies.

Enable Required Reviewers:

Under Policies, enable Minimum number of reviewers.

Set the minimum number of reviewers to 2 to enforce the four-eyes principle.

Add RequiredReviewers:

Add the users who should review the changes. Ensure that at least one approval is required on every iteration.

Enable Reset Code Reviewer Votes:

Enable the Reset code reviewer votes when there are new changes option to ensure that any new changes require re-approval.

Save Changes:

Click on Save changes to apply the policies.

Step 3: Verify the Approval Process

Create a Pull Request:

Make a change in a branch and create a pull request to merge it into the main branch.

Review and Approve:

Ensurethat the pull request requires at least two reviewers to approve it before it can be merged.

By following these steps, you will have successfully initialized themain branch and implemented an approval process that adheres to the four-eyes principle, ensuring that every iteration has at least one approval

To create an instance of Azure Application Insights namedaz400-38443478-mainand configure it to receive telemetry data from an Azure web app with the same name, you’ll need to follow these steps:

Create a Log Analytics Workspace:

Go to theAzure Portal.

Search for Log Analytics Workspaces and select Add.

Select a Subscription and either use an existing Resource Group or create a new one.

Provide a unique name for your Log Analytics workspace.

Choose the Region that is appropriate for you.

Review the settings and then selectCreate1.

Create an Azure Application Insights Instance:

In the Azure Portal, navigate to Application Insights.

Click on + Create.

Fill in the instance details, ensuring the name isaz400-38443478-main.

Link the instance to the Log Analytics workspace you created in the previous step.

Review and create the Application Insights instance2.

Configure the Azure Web App to Send Telemetry Data:

Go to the Azure Web Appaz400-38443478-main.

Under Monitoring, selectApplication Insights.

Choose to use an existing resource and select the Application Insights instance you created.

Follow the prompts to set up the connection, which may involve adding the appropriate SDK to your web app and configuring the connection string or instrumentation key.

Verify Telemetry Data Reception:

After setting up, send some test traffic to your web app.

Then, go to the Application Insights instance and check the Overview or Performance sections to see if telemetry data is being received.

Remember to replace placeholder names with the actual names of your resources where necessary. These steps will help you set up Azure Application Insights to monitor your web app effectively.

1. Sign in to the portal,

2. Choose template Deploy-lod9940427

3. Select Edit template, andthen paste your JSON template code into the code window.

4. Change the ASddressPrefixes to 10.0.0.0/24 in order to support only 256 total IP addresses.

addressSpace":{"addressPrefixes": ["10.0.0.0/24"]},

5. Change the firstSubnet addressprefix to 10.0.0.0/26 to support only 64 total IP addresses.

"subnets":[

{

"name":"firstSubnet",

"properties":{

"addressPrefix":"10.0.0.0/24"

}

6. Select Save.

7. Select Editparameters, provide values for the parameters that are shown, and then select OK.

8 Select Subscription. Choose the subscription you want to use, and then select OK.

9. Select Resource group. Choose an existing resource group or create a new one, and then select OK.

10. Select Create. A new tile on the dashboard tracks the progress of your template deployment.

Task 7: Create a Pipeline to Deploy a Docker Image in a New Branch

Step 1: Create a New Branch

In your Azure DevOps Project (Project1), navigate to Repos.

In the left menu, click on Branches.

Click New branch.

Enter:

Branch name: azure-pipelines

Based on: main (or your default branch)

Click Create.

This creates a new branch named azure-pipelines.

Step 2: Switch to the New Branch

In Repos, click on Files.

In the top-left branch selector, choose azure-pipelines.

Step 3: Use the Predefined Docker Pipeline Template

Azure Pipelines has predefined YAML templates for common tasks, including Docker.

Here’s how to add it:

In the azure-pipelines branch, click New file.

Name the file: azure-pipelines.yml.

Click the Show templates button in the YAML editor (if available).

Search for the Docker template in the list of predefined templates.

Select the Docker template to auto-populate the YAML file.

If the editor doesn’t show the template picker, you can manually add the following basic Docker pipeline template:

yaml

Copy

# Predefined Docker pipeline template

trigger:

- main

resources:

- repo: self

variables:

imageName: 'mydockerimage'

stages:

- stage: Build

displayName: Build and push stage

jobs:

- job: Build

pool:

vmImage: 'ubuntu-latest'

steps:

- task: Docker@2

displayName: Build and push an image to container registry

inputs:

command: buildAndPush

repository: $(imageName)

dockerfile: '**/Dockerfile'

containerRegistry: ''

tags: |

latest

Replace with your actual Azure Container Registry (ACR) or DockerHub service connection name.

Step 4: Commit the Pipeline to the New Branch

In the YAML editor, review and adjust if needed (like setting the correct container registry service connection).

In the bottom commit message box:

Message: e.g., Add Docker deployment pipeline

Ensure the branch is set to azure-pipelines.

Click Commit (not commit to main).

This creates the pipeline YAML file in the new azure-pipelines branch.

Step 5: Create the Pipeline in Azure DevOps

In the left menu, click Pipelines.

Click New pipeline.

Choose:

Azure Repos Git.

Select your repo.

Select Existing Azure Pipelines YAML file.

In the branch selector, choose the azure-pipelines branch.

Select the YAML file path (azure-pipelines.yml).

Click Continue and then Run to validate the pipeline.

Step 1: Create an instance of Azure Application Insights

1. Open Microsoft Azure Portal

2. Log into your Azure account, Select Create a resource > Developer tools > Application Insights.

3. Enter the followingsettings, and then select Review + create.

Name: az400-9940427-main

Step 2: Configure App Insights SDK

1. Open your ASP.NET Core Web App project in Visual Studio > Right-click on the AppName in the Solution Explorer > Select Add > Application InsightsTelemetry.

2. Click the Get Started button

3. Select your account and subscription > Select the Existing resource you created in the Azure portal > Click Register.

You can usea system-assigned managed identity for a Windows virtual machine (VM) to access Azure Key Vault.

Sign in to Azure portal

Locate virtual machine VM1.

Select Identity

Enable the system-assigned identity for VM1 by setting the Status to On.

Note:Enabling a system-assigned managed identity is a one-click experience. You can either enable it during the creation of a VM or in the properties of an existing VM.