As practice makes perfect, we offer three different formats of AI-200 exam study material to practice and prepare for the AI-200 exam. Our Microsoft AI-200 practice test simulates the real Developing AI Cloud Solutions on Azure (AI-200) exam and helps applicants kill exam anxiety. These AI-200 practice exams provide candidates with an accurate assessment of their readiness for the AI-200 test.
| Section | Objectives |
|---|---|
| Topic 1: Secure, monitor, troubleshoot Azure solutions | - Operate AI cloud solutions
|
| Topic 2: Develop containerized solutions on Azure | - Implement containerized applications
|
| Topic 3: Develop AI solutions by using Azure data management services | - Work with Azure data platforms for AI workloads
|
| Topic 4: Connect to and consume Azure services | - Integrate Azure services
|
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NEW QUESTION # 39
You plan to deploy an Azure Container Apps app named App1. App1 will use an access key to connect to a backend API.
The solution must store the key outside of the App1 environment and minimize maintenance efforts.
You need to configure secure key storage for App1.
Which configurations should you use? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
* Provide the key storage for App1: Azure Key Vault secret
* Secure App1 access to the key storage: Managed identity
An API access key is a sensitive string value, so it should be stored as an Azure Key Vault secret , not as an Azure Key Vault cryptographic key. Azure Container Apps supports direct Key Vault secret references , allowing sensitive values to remain centrally stored outside the container app rather than being embedded in images or supplied directly as Container Apps secret values. Microsoft recommends Key Vault references for production secrets because they provide centralized lifecycle management and avoid placing secret values directly in application configuration.
App1 should authenticate to Key Vault by using a managed identity . Azure Container Apps supports both system-assigned and user-assigned managed identities, enabling the workload to obtain Microsoft Entra tokens without maintaining client secrets or credentials. The identity must be granted appropriate Key Vault permissions, such as the Key Vault Secrets User RBAC role, to retrieve the stored secret.
This configuration also minimizes maintenance. When the Key Vault reference omits a specific secret version, Container Apps uses the latest version and automatically detects newer versions, retrieving the updated value within approximately 30 minutes.
Therefore, the required combination is Azure Key Vault secret + Managed identity .
Study Guide references: Azure Container Apps # secrets management; Key Vault references; managed identities; secret rotation and runtime retrieval.
NEW QUESTION # 40
Drag and Drop Question
You are deploying an AI service to ACA.
The service must retrieve secrets securely from Key Vault by using managed identity.
You need to configure secure access.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
Answer:
Explanation:
Explanation:
Step 1: Grant the Key Vault Secrets User role to the managed identity
This uses Azure's modern role-based access control (RBAC) to give the application data-plane permission to read the secret values.
Step 2: Retrieve the secret by using the SDK
Once authorized, the application code securely pulls the secret using libraries like the Azure Key Vault secret client library (such as SecretClient alongside DefaultAzureCredential).
Step 3: Assign a system-assigned managed identity
Enabling a system-assigned identity provides the Azure Container App (ACA) with its own credentials managed automatically by Microsoft Entra ID, completely eliminating hardcoded credentials.
Reference:
https://learn.microsoft.com/en-us/azure/key-vault/general/tutorial-net-create-vault-azure-web-app
NEW QUESTION # 41
A python web API uses OpenTelemetry for tracing. The call downstream service function makes an outbound HTTP request by using the requests library. The following code is the only OpenTelemetry configuration in the application:
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selectin is worth one point.
Answer:
Explanation:
Explanation:
NEW QUESTION # 42
You need to implement trace correlation according to the business requirements.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
NOTE: More than one order of answer choices is correct. You will receive credit for any of the correct orders you se lect.
Answer:
Explanation:
Explanation:
Verified Answer: 1) Instrument the application code with the OpenTelemetry SDK; 2) configure an Azure Monitor trace exporter in the OpenTelemetry SDK; 3) redeploy the instrumented services.
Detailed Explanation: Trace correlation requires the application to create OpenTelemetry spans and an exporter to send those spans to Azure Monitor. Instrumentation must therefore be present before the updated service is deployed. The previous Application Insights SDK instrumentation does not satisfy the case-study requirement that all tracing use OpenTelemetry. Configuring an OpenTelemetry view is unrelated to basic distributed-trace export, and calling TrackEvent is an Application Insights SDK pattern rather than the required OpenTelemetry approach.
Study Guide Alignment: Security and operations: Key Vault, App Configuration, managed identity, OpenTelemetry, Azure Monitor, and KQL-based troubleshooting.
Official Microsoft Learn References: AI-200 Study Guide | Enable Azure Monitor OpenTelemetry
NEW QUESTION # 43
You deploy a production Azure Function app that connects to an Azure SQL Database.
The solution must provide the following functionality:
- Prevent secrets from being exposed in source control.
- Support secret rotation without redeploying the function app.
- Avoid downtime during credential updates.
You need to configure secure and maintainable secret management.
What should you configure?
Answer: D
Explanation:
To meet all requirements, you should configure Application settings with Key Vault references.
Source Control Protection: The Function App source code and configuration files only store a reference URI (e.g., @Microsoft.KeyVault(SecretUri=...)) rather than the actual connection string, keeping secrets entirely out of source control.
Seamless Secret Rotation: Azure Key Vault handles secret rotation natively. When a database password changes, you simply update the secret in Key Vault.
Zero Downtime: By using versionless Key Vault references (omitting the specific version GUID from the URI), the Azure Function App will automatically fetch the latest secret version within 24 hours without requiring a code redeployment or app restart.
References:
https://oneuptime.com/blog/post/2026-02-16-how-to-configure-managed-identity-for-azure-app-service-to-access-key-vault-secrets-without-credentials/view
NEW QUESTION # 44
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