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| Section | Objectives |
|---|---|
| Develop AI solutions by using Azure data management services | - Work with Azure data platforms for AI workloads
|
| Connect to and consume Azure services | - Integrate Azure services
|
| Develop containerized solutions on Azure | - Implement containerized applications
|
| Secure, monitor, troubleshoot Azure solutions | - Operate AI cloud solutions
|
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問題 #63
You need to improve throughput for concurrent application requests to PostgreSQL.
What should you implement?
答案：D
解題說明：
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.
問題 #64
An Azure Storage Blob upload must trigger backend processing.
The solution must:
- Avoid polling.
- Minimize latency.
- Trigger automatically when the upload occurs.
You need to ensure that processing starts as soon as a file is uploaded.
Which trigger should you implement?
答案：B
解題說明：
Azure Event Grid is the best trigger type to use because it pushes real-time event notifications with minimal latency and completely avoids polling.
Push-based model: Sends events instantly as blobs are created.
Lowest latency: Delivers notifications in milliseconds.
No polling overhead: Saves resources compared to timer or queue polling.
How It Works
A user uploads a file to Azure Blob Storage.Blob Storage fires an Microsoft.Storage.BlobCreated event.
Event Grid pushes this event directly to your backend endpoint (such as an Azure Function or Webhook).Processing starts right away.
Reference:
https://damle-amit075.medium.com/azure-databricks-auto-loader-plugging-the-gap-for-batch-loads-72585b0f158e
問題 #65
You plan to deploy a web app to App Service on Linux. You create an App Service plan. You create and push a custom Docker image that contains the web app to Azure Container Registry.
You need to access the console logs generated from inside the container in real-time.
How should you complete the Azure CLI command? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
答案：
解題說明：
Explanation:
nable container logging with `az webapp log config --docker-container-logging filesystem`, then stream it with `az webapp log tail`.
Detailed Explanation: The Azure CLI exposes separate operations for enabling App Service container logging and viewing the live stream. For a custom Linux container, docker/container logging must first be written to the App Service filesystem. The `az webapp log tail` command then starts real-time log tracing.
Commands such as `show` or `download` inspect configuration or retrieve historical files; they do not provide the requested live stream from the running container.
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 CLI: az webapp log
問題 #66
You need to deploy Azure function resources and apps by using an automated, version-controlled CI/CD pipeline that supports declarative infrastructure deployment. What should you use?
答案：B
問題 #67
You need to translate real-time spoken customer conversations from English to Spanish text during a support call, with minimal latency. Which Azure AI service should you use?
答案：D
解題說明：
Azure AI Speech's Speech Translation capability performs real-time speech-to-text and translation in a single streaming pipeline, purpose-built for low-latency live audio scenarios, unlike the text-only Translator service.
問題 #68
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