AZ-400 Exam Dumps - Microsoft Azure DevOps Solutions

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 the main branch does not exist, you will see an option to initialize it. Click on Initialize and follow the prompts to create the main branch1.

Step 2: Enable Squash Merge for the Main Branch

Navigate to Branch Policies:

Go to Repos > Branches.

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

Select Branch policies.

Enable Squash Merge:

Under Policies, scroll down to the Merge strategy section.

Select Squash merge as the required merge strategy2.

Save Changes:

Click on Save changes to apply the policies.

Step 3: Verify the Squash Merge Policy

Create a Pull Request:

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

Complete the Pull Request:

Ensure that the pull request uses the squash merge strategy by selecting Squash commit under the Merge type in the Complete pull request dialog

To configure your Azure Function az400-38443478-funct to automatically update whenever new code is committed to the main branch of the specified GitHub repository, you can use GitHub Actions for continuous deployment. Here’s how to set it up:

Create a GitHub Actions Workflow:

In your GitHub repository, navigate to the .github/workflows/ directory.

Create a new file for your workflow (e.g., azure-function-cd.yml).

Define the Workflow:

In the workflow file, define the steps for the build and deployment process.

Use the Azure/functions-action to deploy to your Azure Function App.

Set up triggers for the main branch to initiate the workflow on every commit.

Generate Deployment Credentials:

In the Azure Portal, navigate to your Function App az400-38443478-funct.

Download the publish profile from the Overview section by clicking on Get publish profile.

Store the Publish Profile as a GitHub Secret:

In your GitHub repository, go to Settings > Secrets and variables > Actions.

Create a new secret (e.g., AZURE_FUNCTIONAPP_PUBLISH_PROFILE) and paste the content of the publish profile.

Configure the Workflow to Use the Secret:

In the workflow file, reference the secret to authenticate the deployment to Azure.

Here’s a sample GitHub Actions workflow snippet:

name: Deploy Azure Function

on:

push:

branches:

- main

jobs:

build-and-deploy:

runs-on: ubuntu-latest

steps:

- uses: actions/checkout@v2

- name: Set up Python version

uses: actions/setup-python@v2

with:

python-version: '3.x'

- name: Install dependencies

run: |

pip install -r requirements.txt

- name: Deploy to Azure Functions

uses: Azure/functions-action@v1

with:

app-name: az400-38443478-funct

publish-profile: ${{ secrets.AZURE_FUNCTIONAPP_PUBLISH_PROFILE }}

package: .

Replace the app-name with the name of your Azure Function App and ensure the Python version and dependencies match your application’s requirements.

By following these steps, your Azure Function will automatically update whenever new code is pushed to the main branch of the GitHub repository. This setup minimizes manual effort and ensures that your function app is always running the latest code.

To prepare a Network Security Group (NSG) named az400-38443478-nsg1 for hosting an Azure DevOps pipeline agent, while allowing only the required outbound port for Azure DevOps and denying all other inbound and outbound access to the Internet, follow these steps:

Create the NSG:

Navigate to the Azure Portal.

Go to Network Security Groups and click on + Create.

Fill in the details, including the name az400-38443478-nsg1, and create the NSG.

Configure Outbound Security Rules:

Once the NSG is created, go to its settings.

Navigate to Outbound security rules.

Click on + Add to create a new rule.

Set the Destination port ranges to 443, which is the required port for Azure DevOps12.

Set the Protocol to TCP.

Set the Action to Allow.

Assign a Priority number (e.g., 100) that does not conflict with existing rules.

Provide a meaningful Name for the rule (e.g., AllowAzureDevOps).

Configure Default Rules to Deny All Other Traffic:

In the same Outbound security rules section, edit the default rule to deny all traffic.

Change the Action to Deny for the rule with the lowest priority (highest number).

Ensure that this rule applies to all protocols, source and destination IP ranges, and port ranges.

Associate the NSG with the Appropriate Resource:

Associate the NSG with the subnet or network interface of the virtual machine or resource where the Azure DevOps pipeline agent will be hosted.

By following these steps, you will ensure that the Azure DevOps pipeline agent can communicate with Azure DevOps services over the required port while blocking all other inbound and outbound Internet access, adhering to the principle of least privilege and security best practices.

Step 1: Create a New Team Dashboard

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 Dashboards:

In the left-hand menu, select Dashboards.

Create a New Dashboard:

Click on New Dashboard.

Enter the name Dashboard1.

Ensure the dashboard type is set to Team Dashboard.

Click Create.

Step 2: Add the Team Members Widget

Open the Widget Catalog:

After creating the dashboard, the widget catalog will open automatically. If it doesn’t, click on Add Widget.

Search for Team Members Widget:

In the widget catalog, search for Team Members.

Add the Widget:

Click on the Team Members widget and then click Add to place it on your dashboard.

Configure the Widget:

Once added, you can resize and move the widget to your preferred location on the dashboard.

Step 3: Save and Share the Dashboard

Save the Dashboard:

Click on Save to save your changes.

Share the Dashboard:

You can share the dashboard URL with your team members or set permissions to control who can view or edit the dashboard.

By following these steps, you will have a new team dashboard named Dashboard1 that displays the members of the default project team for Project1

To configure a virtual machine template in your DevTest Labs environment named az400-38443478-dtl1 with Windows Server 2016 Datacenter that includes the Selenium tool and the Google Chrome browser, follow these steps:

Create a Custom Image with Windows Server 2016 Datacenter:

In the Azure Portal, go to your DevTest Lab az400-38443478-dtl1.

Navigate to Configuration and policies > Custom images.

Use an existing VM or create a new one with Windows Server 2016 Datacenter.

After setting up the VM, capture it to create a custom image1.

Install Selenium and Google Chrome on the VM:

Connect to the VM via RDP.

Download and install the Selenium WebDriver for your preferred programming language from the official Selenium website2.

For Google Chrome, download the offline installer from the official website and install it on the VM3.

Generalize the VM:

Run the sysprep command to generalize the VM, which prepares it to be used as a template.

Shut down the VM after sysprep completes.

Capture the Generalized VM to Create a Template:

In the Azure Portal, navigate to the VM and select Capture.

Provide the required details and create the image.

Add Selenium and Google Chrome Artifacts to the Template:

Go back to the DevTest Lab az400-38443478-dtl1.

Select Artifacts and add Selenium and Google Chrome artifacts to the template.

Ensure these artifacts are configured to install during the VM creation process.

Create VMs from the Template:

Now, when you create a new VM in the DevTest Lab, select the custom image you created.

The VM will be provisioned with Windows Server 2016 Datacenter, and the Selenium tool and Google Chrome browser will be installed automatically.

By following these steps, you can ensure that all virtual machines created from this template in your DevTest Lab will have the required operating system, tools, and browser installed. Remember to replace placeholder names with the actual names of your resources where necessary.

To ensure that your Azure Web App named az400-38443478-main can retrieve secrets from an Azure Key Vault named az400-3844J478-kv1 using a system managed identity with the principle of least privilege, follow these detailed steps:

Enable a System Managed Identity for the Azure Web App:

Navigate to the Azure Portal.

Go to the Azure Web App az400-38443478-main.

Select Identity under the Settings section.

In the System assigned tab, switch the Status to On.

Click Save to apply the changes.

Grant the Web App Access to the Key Vault:

Go to the Azure Key Vault az400-3844J478-kv1.

Select Access policies under the Settings section.

Click on Add Access Policy.

Choose Secret permissions and select Get and List. This grants the app the ability to read secrets, adhering to the principle of least privilege.

Click on Select principal, search for your Web App name az400-38443478-main, and select it.

Click Add to add the policy.

Don’t forget to click Save to save the access policy changes.

Retrieve Secrets in the Web App Code:

In your Web App’s code, use the Azure SDK to retrieve the secrets.

For example, in a .NET application, you can use the Azure.Identity and Azure.Security.KeyVault.Secrets namespaces.

Utilize the DefaultAzureCredential class which will automatically use the system managed identity when running on Azure.

using Azure.Identity;

using Azure.Security.KeyVault.Secrets;

var client = new SecretClient(new Uri("https://az400-3844J478-kv1.vault.azure.net/ "), new DefaultAzureCredential());

KeyVaultSecret secret = await client.GetSecretAsync("my-secret-name");

string secretValue = secret.Value;

Replace "my-secret-name" with the actual name of the secret you want to retrieve.

By following these steps, your Azure Web App will be able to securely retrieve secrets from the Azure Key Vault using a system managed identity, without needing to store credentials in the code, and adhering to the principle of least privilege. Remember to replace the placeholder names with the actual names of your Web App and Key Vault.

To ensure that the webhook at https://contoso.com/statushook is called every time the repository named az40038443478acr1 receives a new version of an image named dotnetapp, you can follow these steps to configure a webhook in Azure Container Registry:

Navigate to the Azure Container Registry:

Go to the Azure Portal.

Find and select your Azure Container Registry instance az40038443478acr1.

Create a New Webhook:

Under Services, select Webhooks.

Click on + Add to create a new webhook.

Fill in the form with the following information:

Webhook name: Enter a unique name for your webhook.

Service URI: Enter https://contoso.com/statushook .

Custom headers: (Optional) Add any headers you want to pass along with the POST request.

Trigger actions: Select Push to trigger the webhook on image push events.

Scope: Specify the scope as az40038443478acr1:dotnetapp to target the specific image.

Status: Set to Enabled.

Save the Webhook Configuration:

Review the information and click Create to save the webhook.

Once configured, the webhook will send a POST request to https://contoso.com/statushook whenever a new version of the dotnetapp image is pushed to the az40038443478acr1 repository in your Azure Container Registry1.

This setup will automate the notification process, ensuring that the specified webhook is called with each new image version, thus fulfilling the task requirements.

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 the main branch does not exist, you will see an option to initialize it. Click on Initialize and follow the prompts to create the main branch1.

Step 2: Create a New Branch for the Pipeline

Navigate to Branches:

Go to Repos > Branches.

Click on New branch.

Create the Branch:

Enter azure-pipelines as the branch name.

Select main as the base branch.

Click Create2.

Step 3: Create a New Azure Pipelines YAML Pipeline

Navigate to Pipelines:

Go to Pipelines > New pipeline.

Select the Repository:

Choose Azure Repos Git and select the relevant repository.

Configure the Pipeline:

Select Starter pipeline.

Replace the default YAML with the ASP.NET template. You can find the ASP.NET template in the Azure Pipelines documentation or use the following example:

trigger:

- main

pool:

vmImage: 'windows-latest'

variables:

buildConfiguration: 'Release'

steps:

- task: UseDotNet@2

inputs:

packageType: 'sdk'

version: '5.x'

installationPath: $(Agent.ToolsDirectory)/dotnet

- script: |

dotnet build --configuration $(buildConfiguration)

displayName: 'Build project'

- script: |

dotnet test --no-build --configuration $(buildConfiguration)

displayName: 'Run tests'

Save the Pipeline:

Click on Save and enter azure-pipelines as the branch name.

Click on Save and run to save the pipeline to the new branch named azure-pipelines3.

By following these steps, you will have successfully initialized the main branch, created a new branch named azure-pipelines, and set up a new Azure Pipelines YAML pipeline using the ASP.NET template