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| Section | Objectives |
|---|---|
| Connect to and consume Azure services | - Integrate Azure services
|
| Secure, monitor, troubleshoot Azure solutions | - Operate AI cloud solutions
|
| Develop containerized solutions on Azure | - Implement containerized applications
|
| Develop AI solutions by using Azure data management services | - Work with Azure data platforms for AI workloads
|
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NEW QUESTION # 131
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 # 132
You need to optimize secure database connectivity from the containerized Recommendation API.
How should you configure the application?
Answer:
Explanation:
Explanation:
* Comply with the authentication policy for database access: Use managed identity authentication.
* Support high-concurrency requests with minimal latency: Use a connection pooling library.
* Protect database stability during traffic spikes: Configure maximum pool size.
The Recommendation API should use managed identity authentication because Fabrikam explicitly requires service-to-database authentication without long-lived credentials. Azure Container Apps managed identities allow applications to obtain Microsoft Entra tokens at runtime and access supported Azure resources without storing usernames, passwords, or connection secrets in application configuration.
For high-concurrency PostgreSQL access, implement a connection pooling library . Azure Database for PostgreSQL documentation recommends connection pooling because repeatedly opening new database connections creates backend processes and consumes CPU and memory. Reusing existing connections reduces connection-establishment overhead and improves latency and throughput. Azure also provides PgBouncer as a built-in pooling option for Flexible Server.
To protect PostgreSQL during sudden traffic spikes, configure a maximum pool size . An unlimited pool can allow application demand to create excessive concurrent connections, which can exhaust database memory and increase contention. Microsoft warns that increasing connection counts can cause significant performance degradation and recommends conservative connection limits combined with pooling.
Therefore, the optimal configuration combines managed identity + connection pooling + bounded pool size
.
Study Guide references: Azure Container Apps managed identities; Azure Database for PostgreSQL connection management; PgBouncer; connection-pool sizing and resource protection.
NEW QUESTION # 133
Hotspot Question
You are using Python SDK to develop a containerized AI application that retrieves the value of a runtime setting stored in an Azure App Configuration resource. The application will run in Azure in the security context of a managed identity.
The application must work in a local development environment without any code changes.
You need to complete the code that implements the retrieval.
How should you complete the code? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Box 1: DefaultAzureCredential
This class from the azure-identity library provides an automated, sequenced token authentication flow. When running locally, it automatically falls back to your local development environment credentials (such as Azure CLI, environment variables, or VS Code login). Once deployed to Azure, it seamlessly switches to the environment's managed identity without requiring any code changes.
Box 2: get_configuration_setting
This method belongs to the AppConfigurationClient in the azure-appconfiguration SDK. It is used to fetch a specific configuration key-value pair using its key name ("FeatureX") and an optional label.
Reference:
https://learn.microsoft.com/en-us/azure/developer/python/tutorial-containerize-deploy-python-web-app-azure-04
NEW QUESTION # 134
Hotspot Question
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.
You review the following code segment that retrieves a secret from Key Vault.
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:
Box 1: No
No, this code will not retrieve the latest version of dbPassword.
Instead, it explicitly retrieves the specific version designated by the string "123".
To pull the latest active version of a secret, omit the version parameter entirely from the get_secret function.python# Change this line:
secret = client.get_secret("dbPassword", version="123")
# To this line:
secret = client.get_secret("dbPassword")
Box 2: Yes
Yes, the code will successfully authenticate to Azure Key Vault without storing client secrets when deployed to an Azure-hosted environment with a managed identity enabled.
DefaultAzureCredential Behavior: This class is a sequential chaining credential mechanism.
When deployed to Azure (such as Azure App Service, Azure VMs, or Azure Functions), it automatically looks for an active Managed Identity environment endpoint to fetch an access token.
Zero Secret Storage: Because the platform relies on the underlying Azure host infrastructure to handle identity token generation, you do not need to hardcode client secrets, passwords, or certificates anywhere inside your application code or configuration settings.
Box 3: No
No, subsequent calls to this code will not retrieve the new version.
By explicitly including version="123" in the get_secret method, you are requesting a specific immutable version of the secret.
Reference:
https://learn.microsoft.com/en-us/azure/key-vault/secrets/quick-create-python
NEW QUESTION # 135
You are developing several microservices to run on Azure Container Apps. External HTTP ingress traffic has been enabled for the Microservices.
A deployed microservice must be updated to allow users to test new features. You have the following requirements:
* Enable and maintain a single URL for the updated microservice to provide to test users.
* Update the microservice that corresponds to the current microservice version.
You need to configure Azure Container Apps.
Which features should you configure? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Verified Answer: Single URL for test users: Revision label. Current microservice activation behavior:
Revision mode.
Detailed Explanation: Azure Container Apps revision labels provide a stable label-specific URL that can be reassigned to a different revision, which is appropriate for a consistent test endpoint. Revision mode controls whether one or multiple revisions can be active at the same time and therefore governs how the current and updated application versions are activated. The container image and registry identify what is deployed, but they do not provide the stable test URL or the application-level revision activation behavior requested.
Study Guide Alignment: Containerized Azure workloads: registry builds, App Service containers, Container Apps revision/scaling behavior, and AKS deployment choices.
Official Microsoft Learn References: AI-200 Study Guide | Azure Container Apps revisions | Azure Container Apps revision labels
NEW QUESTION # 136
......
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