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Microsoft AI-200 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Integrate backend services and build event-driven architectures | 25% | - Build serverless APIs and workflows
|
| Develop AI solutions using Azure data services | 30% | - Implement vector-enabled databases
|
| Develop containerized AI solutions on Azure | 25% | - Implement container hosting environments
|
| Secure, monitor, and optimize AI solutions | 20% | - Implement observability and reliability
|
Microsoft Developing AI Cloud Solutions on Azure Sample Questions:
You plan to deploy an Azure Container app.
You need to configure the container app to support session affinity.
Which ingress type and revision mode should you assign to the container app?
- A. TCP ingress type and single revision mode
- B. HTTP ingress type and multiple revision mode
- C. TCP ingress type and multiple revision mode
- D. HTTP ingress type and single revision mode
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You are implementing the expiration requirement for AI-generated summaries in the Redis cache.
You need to purge the AI summaries five minutes after creation, regardless of how often they are accessed.
What should you do?
- A. Implement sliding expiration on each cache key
- B. Set the maxmemory-policy to allkeys-lru
- C. Configure absolute expiration on each cache key
- D. Use the PERSIST command after each successful read operation
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You need to deploy a batch embedding workload according to the planned application architecture.
What should you use?
- A. az aks commands
- B. YAML-formatted files
- C. kubectl run and create commands
- D. XML-formatted files
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You are configuring sampling for a distributed application that sends traces to Azure Monitor. The solution must:
* Preserve upstream sampling decisions across distributed traces
* Capture all spans during local testing.
* Sample 10 percent of traces in production.
You need to apply the appropriate sampling configuration for each requirement.
What should you do? To answer, move the appropriate configurations to the correct requirements. You may use each configuration 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.
Explanation:
Verified Answer: Preserve parent sampling decisions: ParentBasedSampler. Capture all spans locally:
AlwaysOnSampler. Sample 10% in production: TraceIdRatioBasedSampler(0.1).
Detailed Explanation: Parent-based sampling propagates the sampling decision from the upstream parent, preventing broken sampling decisions across a distributed trace. AlwaysOnSampler records every span, which is suitable for local test environments where complete trace visibility is more important than telemetry volume. TraceIdRatioBasedSampler with 0.1 selects approximately ten percent of traces based on trace identifiers, providing deterministic fixed-ratio sampling for production. A batch span processor and an exporter control processing/export, not the sampling decision itself.
Study Guide Alignment: Security and operations: Key Vault, App Configuration, managed identity, OpenTelemetry, Azure Monitor, and KQL-based troubleshooting.
Official Microsoft Learn References: AI-200 Study Guide | OpenTelemetry sampling in Azure Monitor | Enable Azure Monitor OpenTelemetry
Your organization requires that all prompts and completions sent to Azure OpenAI be retained for zero data logging beyond what ' s required for abuse monitoring, per contractual requirements.
What should you do?
- A. Request modified content filtering / abuse monitoring configuration through Microsoft for the resource
- B. Disable Azure Monitor entirely
- C. Use a lower model version
- D. Store all data only in Cosmos DB
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