AZ-400 Timed Practice Test 2 — 10 Questions

Question 1

Your organization uses Azure DevOps and Azure Policy to enforce compliance. You need to ensure that all Azure resources deployed by Azure DevOps pipelines have specific tags (e.g., CostCenter and Environment) applied. Which TWO approaches can achieve this? (Choose TWO.)

Accepted Answer

Create an Azure Policy with the 'deny' effect that requires the tags to be present at resource creation.. Option C is correct because an Azure Policy with the 'deny' effect prevents the creation of any resource that does not include the required tags (e.g., CostCenter and Environment). This enforces compliance at the moment of deployment, blocking non-compliant resources from being provisioned by Azure DevOps pipelines. Option D is correct because adding a pipeline task (using Azure CLI or PowerShell) after resource creation programmatically applies the required tags, ensuring resources are tagged even if the initial deployment omitted them.

Answer

Configure the service connection to only allow deployments with tags.

Answer

Create an Azure Policy with the 'audit' effect to report non-compliant resources.

Answer

Configure a branch policy on the main branch to require tag verification in pull requests.

Question 2

Your organization uses Azure DevOps and Azure Key Vault to manage secrets. You have a pipeline that deploys a web app to Azure App Service. The pipeline uses a variable group linked to Key Vault to retrieve the database connection string. Recently, the build started failing with the error: 'Access to Key Vault is denied. Please ensure the service connection has Get and List permissions on secrets.' The service connection uses a service principal. You have verified that the service principal has the correct Key Vault access policy with Get and List permissions. What is the most likely cause of the failure?

Accepted Answer

The build service identity does not have Get and List permissions on the Key Vault secrets.. The error message indicates that the identity attempting to access Key Vault lacks the required permissions. Even though the service principal has the correct access policy, the pipeline may be using a different identity—the build service identity—to authenticate with Key Vault. In Azure DevOps, when a variable group is linked to Key Vault, the pipeline's build service identity (not the service connection's service principal) must have Get and List permissions on the Key Vault secrets. This is a common misconfiguration where the service principal is granted permissions but the build service identity is not.

Answer

The service connection is configured to use the wrong Azure subscription.

Answer

The secret name in the variable group does not match the secret name in Key Vault.

Answer

The service principal used by the service connection does not have Contributor role on the Key Vault.

Question 3

You are configuring Application Insights for a .NET Core web application deployed to Azure App Service. The application must capture telemetry for all HTTP requests, exceptions, and dependency calls with minimal code changes. What should you do?

Accepted Answer

Enable the Application Insights site extension in the App Service 'Application Insights' blade.. Option A is correct because enabling the Application Insights site extension via the App Service 'Application Insights' blade automatically instruments the .NET Core application without requiring any code changes. This extension injects the necessary telemetry modules to capture HTTP requests, exceptions, and dependency calls at the runtime level, leveraging the Azure App Service integration for zero-code instrumentation.

Answer

Configure diagnostics logging in the App Service and stream logs to Application Insights.

Answer

Install the Microsoft.ApplicationInsights.AspNetCore NuGet package and add services.AddApplicationInsightsTelemetry() in Startup.cs.

Answer

Add the Application Insights JavaScript SDK to each page.

Question 4

Your team uses Azure DevOps for CI/CD. You need to ensure that every build publishes telemetry to Application Insights, including build duration, test pass rate, and deployment frequency. Which approach should you use?

Accepted Answer

Use the Azure DevOps Analytics OData endpoint to query pipeline telemetry and send to Application Insights via a release task.. Option D is correct because the Azure DevOps Analytics OData endpoint provides a standardized, queryable interface to pipeline telemetry data (build duration, test pass rate, deployment frequency). By using a release task to query this endpoint and forward the data to Application Insights, you can instrument your CI/CD pipeline to send custom telemetry without relying on manual scripting or unsupported commands. This approach aligns with the 'Implement an instrumentation strategy' domain by leveraging Azure DevOps Analytics and Application Insights integration.

Answer

Call the Azure DevOps REST API from a custom script in the pipeline to capture telemetry.

Answer

Run the Azure DevOps CLI command 'az devops telemetry publish' in a build task.

Answer

Use the built-in 'Pipeline Telemetry' dashboard in Azure DevOps.

Question 5

Which THREE of the following are valid techniques to reduce the volume of telemetry data sent to Application Insights while preserving diagnostic value?

Accepted Answer

Configure fixed-rate sampling. Option B is correct because fixed-rate sampling in Application Insights randomly selects a percentage of telemetry items to send, reducing volume predictably while preserving a representative sample for diagnostics. This technique is ideal when you need consistent, controllable data reduction without losing the ability to detect trends and anomalies across all telemetry types.

Answer

Aggregate telemetry into 1-minute buckets before sending

Answer

Set a maximum telemetry throughput limit on the Application Insights instance

Question 6

You are designing a centralized logging strategy for multiple microservices hosted in Azure Kubernetes Service (AKS). Each microservice writes logs in JSON format to stdout/stderr. The operations team needs to query logs across all services and correlate them with application performance metrics. Which solution provides the best integration?

Accepted Answer

Enable Container Insights in Azure Monitor to collect stdout/stderr logs and metrics into a Log Analytics workspace.. Container Insights in Azure Monitor is the best solution because it natively collects stdout/stderr logs from AKS containers and correlates them with performance metrics (CPU, memory, disk, network) in a single Log Analytics workspace. This enables the operations team to query logs across all microservices using KQL and join them with metrics for end-to-end troubleshooting, without additional infrastructure or data movement.

Answer

Configure AKS to send logs to Azure Blob Storage and use Azure Storage Analytics for querying.

Answer

Stream logs to Azure Event Hubs and then to Azure Data Explorer for analysis.

Answer

Deploy the Application Insights agent as a DaemonSet in AKS and send logs directly to Application Insights.

Question 7

You have deployed an Azure Resource Manager (ARM) template for a scheduled query rule as shown. The rule is enabled and targets an Application Insights resource. However, no alerts are firing despite HTTP 500 errors occurring. What is the most likely cause?

Accepted Answer

The threshold of 100 is too high; the rule should use a percentage-based condition on error rate.. Option B is correct because the threshold of 100 is an absolute count, not a percentage. HTTP 500 errors may occur sporadically, but unless they reach 100 within the evaluation window, the alert will not fire. For error-rate monitoring, a percentage-based condition (e.g., >5% of total requests) is more appropriate to detect anomalies even with lower traffic volumes.

Answer

The severity is set to 2, which suppresses the alert.

Answer

The metric name 'requests/count' is misspelled; it should be 'requests/count' (correct).

Answer

The dimension filter for 'request/resultCode' includes '500' but should also include '5xx' wildcard.

Question 8

You have an Azure DevOps pipeline that deploys a web app to Azure App Service. You want to capture deployment frequency and change failure rate as metrics in Application Insights. Which built-in analytics view should you use?

Accepted Answer

Deployment Frequency. The Deployment Frequency analytics view in Application Insights is specifically designed to track how often deployments occur and the rate at which they fail, directly aligning with the goal of capturing deployment frequency and change failure rate. This view leverages data from Azure DevOps pipelines to provide these metrics without requiring custom queries or additional instrumentation.

Answer

Application Dashboard

Answer

Time to Restore Service

Answer

Azure DevOps Pipeline Telemetry

Question 9

Your organization uses Azure DevOps for a multi-tier web application. The application consists of a React frontend, a Node.js API, and a SQL database. The security team has mandated the following: (1) All code changes must be scanned for secrets before merging to the main branch. (2) Infrastructure-as-code templates (ARM) must be validated for security compliance before deployment. (3) Production deployments must use a service connection with a managed identity that has only the required permissions. You have set up a CI/CD pipeline with two stages: Build and Release. The Build stage runs on pull requests and the Release stage deploys to a production environment. Recently, a developer accidentally committed a secret (API key) to a configuration file. The secret was not caught by the pipeline, and the code was merged to main. You need to prevent this in the future. What should you do?

Accepted Answer

Add a 'Credential Scanner' task to the Build pipeline and configure it to fail the build if any secrets are found. Also, move all secrets to Azure Key Vault and reference them via variable groups.. Option D is correct because it directly addresses the root cause: secrets were not being scanned before merge. The Credential Scanner task (part of Microsoft Security Code Analysis) scans for hardcoded secrets and can fail the build, preventing the merge. Moving secrets to Azure Key Vault and referencing them via variable groups (linked to the vault) ensures secrets are never stored in the repository, eliminating the risk of accidental commits.

Answer

Configure a branch policy to require at least two reviewers on pull requests to the main branch.

Answer

Implement a manual approval gate on the Release stage to review each deployment for secrets.

Answer

Use a pipeline decorator to inject a validation step that runs Azure Policy on the code repository.

Question 10

You are debugging a production issue using Application Insights Snapshot Debugger. The exhibit shows a snapshot from a NullReferenceException. The variable _dbContext is null. What is the most likely root cause?

Accepted Answer

The Index page model is not registered in the dependency injection container.. The Snapshot Debugger shows _dbContext is null, which indicates the dependency was never injected. In ASP.NET Core, page models like IndexModel must be registered in the dependency injection (DI) container (e.g., via AddTransient or AddScoped) for DI to resolve and inject the DbContext. Without registration, the runtime creates the page model manually, leaving _dbContext uninitialized and causing a NullReferenceException when OnGet accesses it.

Answer

The call to the database is not awaited, causing a race condition.

Answer

The database connection string is invalid in appsettings.json.

Answer

The OnGet method is missing a null check for _dbContext before usage.