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Microsoft AI-200 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Develop AI solutions using Azure data services | 30% | - Implement vector-enabled databases
|
| Develop containerized AI solutions on Azure | 25% | - Monitor and troubleshoot containerized workloads
|
| Integrate backend services and build event-driven architectures | 25% | - Build serverless APIs and workflows
|
| Secure, monitor, and optimize AI solutions | 20% | - Implement observability and reliability
|
Microsoft Developing AI Cloud Solutions on Azure Sample Questions:
You need to ensure that responses from your Azure OpenAI application include citations back to the specific source documents used, to support user trust and verification.
What should you implement?
- A. Configure the RAG pipeline to return retrieved document metadata (source, page) alongside generated answers and instruct the model to cite them
- B. Increase top_p to broaden token sampling
- C. Use only the base model with no retrieval
- D. Enable higher content filter severity
Correct Answer: A 🗳️
Explanation: Only visible for DumpsKing members. You can sign-up / login (it's free).
You are reviewing secret access patterns used by an AI application that retrieves credentials from Key Vault.
You need to evaluate the security impact of each implementation approach.
What is the outcome of each approach? To answer, move the appropriate outcomes to the correct implementations. You may use each outcome once, more than once, or not at all. You may need to move the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
Correct Answer:
Explanation:
You need to optimize secure database connectivity from the containerized Recommendation API.
How should you configure the application?
Correct Answer:
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.
You are developing a microservices-based application that uses Azure Container Apps. The application consists of several containerized services that handle tasks, such as processing orders, managing inventory, and generating reports.
Report generation must be implemented as follows:
Process reports every Sunday at midnight.
Minimize app resources during report generation.
Record metrics in the same location as other containers.
Use the same virtual network as other containers.
Correct Answer:
Explanation:
You process Azure Service Bus messages that require a dependent external API call.
If the API is temporarily unavailable, you must delay processing of the message without incrementing the delivery count. You need to find a way to process the message when the API is available while keeping the message accessible. Which message action should you perform?
- A. Defer
- B. Abandon
- C. Complete
- D. Dead-letter
Correct Answer: A 🗳️
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