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Microsoft AI-200 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Integrate backend services and build event-driven architectures | 25% | - Build serverless APIs and workflows
|
| Topic 2: Secure, monitor, and optimize AI solutions | 20% | - Implement observability and reliability
|
| Topic 3: Develop AI solutions using Azure data services | 30% | - Design and optimize data access and retrieval
|
| Topic 4: Develop containerized AI solutions on Azure | 25% | - Implement container hosting environments
|
Microsoft Developing AI Cloud Solutions on Azure Sample Questions:
1. You are deploying a model in Azure AI Foundry and must ensure the endpoint can handle unpredictable bursts of traffic while keeping cost low during idle periods. Which deployment type should you choose?
A) Standard (pay-as-you-go) deployment
B) Dedicated managed compute with fixed capacity
C) Provisioned Throughput Units (PTU)
D) Batch deployment
2. You need to secure an Azure OpenAI resource so that it is only reachable from your virtual network and not from the public internet. What should you configure?
A) Cross-Origin Resource Sharing (CORS) rules
B) Azure AI Content Safety
C) A private endpoint with Azure Private Link
D) API key rotation
3. Hotspot Question
You are reviewing the Python tracing configuration for an application that must send distributed traces to Azure Monitor.
The following code configures OpenTelemetry tracing:
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
4. You must ensure an Azure OpenAI-powered application never exceeds a defined token-per- minute budget across all users to avoid runaway costs. What should you configure?
A) Deployment-level rate limits (TPM/RPM) in Azure AI Foundry
B) Model temperature
C) Content filtering severity levels
D) A vector index size limit in Azure AI Search
5. Hotspot Question
A company uses Azure Monitor Application Insights to monitor application behavior, including incoming requests and dependencies.
You must identify failed requests from the last hour. You must also calculate the average duration of failed request dependency calls, grouped by operation name.
You need to analyze telemetry in Application Insights.
Which operators should you use? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: C | Question # 3 Answer: Only visible for members | Question # 4 Answer: A | Question # 5 Answer: Only visible for members |







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