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| Section | Objectives |
|---|---|
| Topic 1: Connect to and consume Azure services | - Integrate Azure services
|
| Topic 2: Secure, monitor, troubleshoot Azure solutions | - Operate AI cloud solutions
|
| Topic 3: Develop containerized solutions on Azure | - Implement containerized applications
|
| Topic 4: Develop AI solutions by using Azure data management services | - Work with Azure data platforms for AI workloads
|
>> AI-200 Question Explanations <<
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NEW QUESTION # 48
You are developing an AI application that retrieves database credentials from Key Vault by using the Azure SDK for Python.
The application must use managed identity for authentication.
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Verified Answer: Yes; Yes; No.
Detailed Explanation: The get_secret call supplies an explicit version value, so it retrieves that particular version of dbPassword. DefaultAzureCredential can authenticate to Key Vault by using the Azure-hosted application's managed identity without embedding a client secret in the application. Because the code requests a fixed version, later secret rotation creates a newer version but subsequent executions of this exact code continue to request the specified old version. To follow the latest version automatically, the version parameter must be omitted.
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 | Managed identities for Azure resources | Use Key Vault references for App Service and Functions
NEW QUESTION # 49
You need to configure a connection string for the partner-facing service according to the technical requirements.
What should you use?
Answer: D
Explanation:
Detailed Explanation: Azure Key Vault references in App Service settings satisfy the requirement to keep secrets out of container images, source control, and directly stored application configuration. App Service resolves the referenced secret at runtime by using the app identity, so the application can consume the value as a normal setting without embedding credentials in the image. GitHub secrets are build/deployment secrets rather than a runtime App Service secret-delivery mechanism. Dockerfile ENV instructions would place secret material in the image configuration and violate the case requirements.
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 | Use Key Vault references for App Service and Functions | Managed identities for Azure resources
NEW QUESTION # 50
You have an Azure web app that uses Azure Cosmos DB as a data store. You create a Cosmos DB container by running the following PowerShell script:
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
The question maps directly to the AI-200 objective "Develop AI solutions by using Azure Cosmos DB for NoSQL," which includes running queries and optimizing query performance and Request Unit (RU) consumption.
Statement 1: No - The minimum throughput is not 400 RU/s.
The PowerShell command provisions the container with:
-AutoscaleMaxThroughput 5000
Azure Cosmos DB autoscale operates between approximately 10% and 100% of the configured maximum throughput . Microsoft documentation specifically gives the example of an autoscale container provisioned with 5,000 RU/s scaling between 500 RU/s and 5,000 RU/s . Therefore, for this container, the minimum operating autoscale throughput is 500 RU/s , not 400 RU/s.
Therefore:
"The minimum throughput for the container is 400 RU/s." # No
Statement 2: No - The first query is not an in-partition query.
The container uses:
/EmployeeId
as its partition key.
The first query is:
SELECT * FROM c WHERE c.EmployeeId > ' 12345 '
Although the query references the partition key, it uses a range predicate ( > ) , not an equality predicate.
Microsoft explicitly states that a range filter on a partition key is not scoped to a single physical partition .
To qualify as an in-partition query, the filter must identify the applicable partition, typically through an equality predicate such as:
WHERE c.EmployeeId = ' 12345 '
Microsoft ' s documentation provides essentially the same example: a query using DeviceId > ... against a container partitioned by DeviceId is not an in-partition query .
Therefore:
"The first query statement is an in-partition query." # No
Statement 3: Yes - The second query is a cross-partition query.
The second query is:
SELECT * FROM c WHERE c.UserId = ' 12345 '
The container ' s partition key is /EmployeeId, not /UserId. Because the query contains no filter on the partition key , Azure Cosmos DB cannot route it to one logical partition. It must fan out the query across the applicable physical partitions and combine the results.
Microsoft describes this behavior directly: when a query does not contain a filter on the partition key, it must execute across the partitions.
Therefore:
"The second query statement is a cross-partition query." # Yes
NEW QUESTION # 51
You are reviewing an Azure Function app that processes incoming order requests for a company. The function must:
* Accept order submissions from an external client application.
* Require controlled access for security
* Return a response containing the processed request payload.
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Verified answer: Yes; No; Yes; No.
Detailed Explanation: `auth_level=FUNCTION` means invocation requires a function key unless a stronger platform authentication layer is configured, so the first statement is true. The route explicitly permits POST, not GET. The function reads `req.get_body()` and returns that value in the HttpResponse, so the response contains the request body. No schema, type, required-field, or other payload validation is performed before the response is constructed, making the final statement false.
Study Guide Alignment: Azure service integration: Service Bus, Event Grid, Azure Functions triggers
/bindings, and event-driven processing.
Official Microsoft Learn References: AI-200 Study Guide | Azure Functions HTTP trigger
NEW QUESTION # 52
You need to give an Azure OpenAI-based agent the ability to call a company's internal REST API to check order status during a conversation. What should you implement?
Answer: A
Explanation:
Function calling lets you describe available functions/tools with a JSON schema; the model decides when to invoke them and with what arguments, and your application executes the actual API call and returns results to the model.
NEW QUESTION # 53
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