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Microsoft AI-200 Exam Syllabus Topics:

Microsoft Developing AI Cloud Solutions on Azure Sample Questions:

1. You are developing an AI-powered API that retrieves connection strings and API keys from Azure Key Vault.
You must configure a solution that provides the following security functionality:
- The API must authenticate to Key Vault without storing credentials in any application configuration files.
- The identity used by the API must have only the minimum permissions
necessary to read secrets.
- The configuration must minimize the blast radius if an identity or
credential is compromised.
You need to implement a secure access strategy for the API.
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

A) Use system-assigned managed identity.
B) Store a secret value in Azure App Configuration.
C) Grant the Key Vault Secrets User role at vault scope.
D) Assign the Key Vault Administrator role at subscription scope.

2. Hotspot Question
You are implementing semantic retrieval in Redis.
The solution must support low-latency, approximate nearest neighbor (ANN) vector similarity search for large-scale AI retrieval workloads.
You need to select the appropriate vector schema settings.
Which configuration values should you select? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

3. You are building a multi-agent solution in Azure AI Foundry where one agent handles scheduling and another handles billing questions, and a request may need both. What should you implement?

A) A single fine-tuned model trained on both domains only
B) A single monolithic prompt covering both domains
C) An orchestrator agent that routes sub-tasks to specialized agents and combines results
D) Two separate applications with no coordination

4. 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.

5. You are building a RAG (retrieval-augmented generation) solution using Azure AI Foundry. The knowledge base consists of 50,000 PDF documents stored in Azure Blob Storage. You need to make the document content searchable by the language model with minimal custom code. What should you use?

A) Azure Functions to manually chunk and embed each document
B) Azure Table Storage with full-text indexing
C) Azure AI Search integrated vectorization with a skillset
D) Azure Cognitive Service for Language custom text classification

Solutions: