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| Section | Objectives |
|---|---|
| Plan and manage Azure AI solutions | - Plan security and compliance requirements - Select appropriate Azure AI services - Monitor and optimize AI solutions |
| Implement Azure AI solutions | - Implement knowledge mining with Azure AI Search - Implement natural language processing solutions - Implement generative AI solutions using Azure OpenAI - Implement computer vision solutions |
| Implement and monitor AI workloads | - Deploy AI models and services - Monitor performance and troubleshoot issues |
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NEW QUESTION # 53
You need to improve throughput for concurrent application requests to PostgreSQL.
What should you implement?
Answer: B
Explanation:
The correct solution is to implement connection pooling , ideally by using the built-in PgBouncer capability in Azure Database for PostgreSQL Flexible Server. Connection pooling allows many concurrent application requests to share and reuse a smaller set of established PostgreSQL server connections instead of repeatedly opening and closing database sessions. Microsoft notes that creating a new PostgreSQL connection for each operation consumes server resources because each connection involves its own backend process. Reusing pooled connections therefore reduces connection overhead, lowers CPU and memory consumption, and improves throughput for high-concurrency workloads.
This directly matches Fabrikam ' s stated requirement that database connections support high concurrency with minimal latency through connection optimization . PgBouncer can efficiently multiplex large numbers of client connections onto fewer PostgreSQL connections, particularly in transaction pooling mode.
Increasing max_connections is not the preferred solution because each additional PostgreSQL connection consumes memory and other resources; Microsoft explicitly recommends PgBouncer instead when more concurrent connections are required. Increasing shared_buffers addresses caching and memory allocation rather than connection-management overhead. Read replicas can scale read workloads, but they do not optimize the application ' s connection lifecycle.
Study Guide references: Azure Database for PostgreSQL Flexible Server # connection pooling; PgBouncer; connection management and high-concurrency performance.
NEW QUESTION # 54
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 # 55
You maintain multiple versions of a container image in Azure Container Registry.
The production deployment must always run the exact same image build even if tags are changed later.
You need to ensure predictable and immutable image selection during deployment.
What should you do?
Answer: B
Explanation:
Use the image ' s SHA-256 manifest digest when defining the production deployment. Azure Container Registry assigns every pushed image manifest a unique digest, and Microsoft explicitly states that pulling an image by digest guarantees the image version being retrieved , even if an identically named tag is later pushed to a different image. A digest reference has the form myregistry.azurecr.io/repository@sha256: < digest > .
Tags such as production or latest are mutable references . By default, a user or pipeline with sufficient permissions can push a different image under the same tag. Microsoft therefore warns against relying on reusable stable tags for production deployments when exact image reproducibility is required.
A scheduled rebuild also creates a new image artifact and therefore cannot guarantee that production executes the original build. In contrast, the manifest digest is content-addressed and resolves to the precise image manifest selected at deployment time.
Thus, for deterministic and immutable production image selection, reference the container image by its SHA digest rather than by a mutable tag .
Study Guide references: Azure Container Registry # image manifests and digests; image addressing; tagging
/versioning recommendations; immutable deployment references.
NEW QUESTION # 56
You are building o back end pipeline that receives Al inference requests. The pipeline must perform the following actions:
* Publish a message so that multiple independent consumers receive it.
* Process massages in order through a single consumer entity.
* isolate any failed messages
You need to configure the appropriate Service Bus entities.
How should you configure the service bus entities? To answer, move the appropriate configurations to the correct requirements. You may use each configuration once..
Answer:
Explanation:
Explanation:
NEW QUESTION # 57
You plan to develop an Azure Functions app with an HTTP trigger.
The app must support the following functionality:
Event-driven scaling -
Ability to use custom Linux images for function execution
You need to identify the app ' s hosting plan and the maximum amount of time that the app function can take to respond to incoming requests.
Which configuration setting values should you use? To answer, select the appropriate values in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
* Hosting plan: Premium
* Timeout value: 230 seconds
The correct hosting option is the Azure Functions Premium plan . Microsoft documents that the Premium plan supports event-driven scaling , where Azure Functions dynamically adds or removes host instances based on incoming trigger activity. It also supports Linux container deployments , which is required when the function app must execute from a custom Linux container image. A Dedicated App Service plan can host Linux containers, but it does not provide native Functions event-driven scaling. The legacy Consumption plan supports event-driven scaling but does not satisfy the custom Linux container requirement in this question.
For an HTTP-triggered function , the maximum time available to return an HTTP response is 230 seconds .
This limit applies even though a Premium-plan function can have a much longer or effectively unbounded execution timeout. Microsoft explains that the 230-second response limit results from the Azure Load Balancer ' s default idle timeout. If processing continues beyond this point, the function can continue executing, but the client will receive a timeout and the function cannot return its eventual response over that original HTTP connection.
Therefore, Premium + 230 seconds is the required combination.
Study Guide references: Azure Functions hosting options; Premium plan; Linux container support; event- driven scaling; HTTP-trigger timeout behavior.
NEW QUESTION # 58
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