AZ-400 Practice Questions

Step 1: Access Azure DevOps

Open your browser and navigate to https://aex.dev.azure.com .

You will be prompted to sign in. Enter the following credentials:

Username: UserUser1-48901628@cxamUsers.com

Password: aFpJ2j-6M!

Click Next or Sign in to proceed.

Note: If you see any Microsoft security challenge (like phone or email verification), follow the instructions to complete it.

Step 2: Sign Up for Azure DevOps

After signing in, you’ll see a prompt to sign up for Azure DevOps.

Use the default settings provided by Azure DevOps for the sign-up process (region, default name, etc.).

Click Continue or Start free with Azure DevOps.

An Azure DevOps Organization is a container for your projects and resources. Default settings are usually fine for new organizations.

Step 3: Create the Organization

Enter a name for your organization. Azure DevOps will suggest a default name (like yourname or org-name), but you can change it if you prefer.

Verify the region is correct.

Click Continue to create the organization.

Your Azure DevOps organization is now created. It’s the top-level container for all your projects.

Step 4: Create a Private Project Named Project1

In your Azure DevOps portal, find the " New Project " button and click it.

Enter the following details:

Project Name: Project1

Description: (optional)

Visibility: Private

Click Create.

A private project means that only users you add can see or access it. This is important for security and privacy.

Step 5: Enforce Maximum File Size for Repositories

By default, Azure DevOps allows files up to 100 MB to be pushed. To ensure the maximum file size for repositories in Project1 is 2 MB, you can enforce this using a pipeline validation.

Azure DevOps does not provide a direct setting for file size limits. However, you can create a pipeline to validate file size on pull requests and block changes if a file exceeds 2 M

B.  

Here’s how to do it:

Option 1: Enforce with a pipeline validation for pull requests

In your Project1, create a new pipeline.

Use the following YAML for the pipeline:

yaml

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trigger: none

pr:

branches:

include:

- " * "

jobs:

- job: CheckFileSize

pool:

vmImage: ' ubuntu-latest '

steps:

- script: |

echo " Checking file sizes in the PR... "

git fetch origin +refs/pull/*/merge:refs/remotes/origin/pr/*

large_files=$(git diff --cached --name-only | xargs -I{} du -b {} | awk ' $1 > 2097152 {print $2} ' )

if [ -n " $large_files " ]; then

echo " Error: The following files exceed 2 MB: "

echo " $large_files "

exit 1

fi

displayName: ' Check file sizes in PR '

This pipeline will:

Run on pull requests only.

Check the size of all files in the pull request.

If any file is larger than 2 MB (2,097,152 bytes), it will fail the pipeline and block the PR.

Option 2: Local Git configuration (for each developer)

On each developer’s machine, run this command in their local repository:

bash

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git config --local core.bigFileThreshold 2M

This limits the file threshold for checkout, but does not prevent large files from being pushed. Using the pipeline validation (Option 1) is more secure for team environments.

1.Go to the Azure portal, navigate to Traffic Manager profiles and click on the Add button to create a routing profile.

2. In the Create Traffic Manager profile, enter, or select these settings:

Name: az40011566895n1-tm

Routing method: Geographic

Resource group: RG1lod11566895

Note: Traffic Manager profiles can be configured to use the Geographic routing method so that users are directed to specific endpoints (Azure, External or Nested) based on which geographic location their DNS query originates from. This empowers Traffic Manager customers to enable scenarios where knowing a user’s geographic region and routing them based on that is important.

1. Open Microsoft Azure Portal

2. Log into your Azure account and go to App Service and look under Monitoring then you will see Alert.

3. Select Add an alert rule

4. Configure the alert rule as per belowand click Ok.

Source: Alert on Metrics

Resource Group: az400-9940427-main

Resource: az400-9940427-main

Threshold: 5

Period: Over the last 5 minutes

Webhook: https://contoso.com/notify

To ensure that your Azure Web App namedaz400-38443478-maincan retrieve secrets from an Azure Key Vault namedaz400-3844J478-kv1using 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 Appaz400-38443478-main.

SelectIdentityunder theSettingssection.

In theSystem assignedtab, switch theStatustoOn.

ClickSaveto apply the changes.

Grant the Web App Access to the Key Vault:

Go to the Azure Key Vaultaz400-3844J478-kv1.

SelectAccess policiesunder theSettingssection.

Click onAdd Access Policy.

ChooseSecret permissionsand selectGetandList. This grants the app the ability to read secrets, adhering to the principle of least privilege.

Click onSelect principal, search for your Web App nameaz400-38443478-main, and select it.

ClickAddto add the policy.

Don’t forget to clickSaveto 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 theAzure.IdentityandAzure.Security.KeyVault.Secretsnamespaces.

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

using Azure.Identity;

usingAzure.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 needingto 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 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.