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Microsoft AI-200 Exam Syllabus Topics:

Microsoft Developing AI Cloud Solutions on Azure Sample Questions:

1. Your solution must answer questions about numeric data in large Excel-based reports (e.g.,
"What was Q3 revenue for the West region?"). Which approach is most appropriate?

A) Use Azure AI Vision to read the spreadsheet as an image
B) Convert data to a structured table/SQL source and use a function-calling agent to query it
C) Store the Excel data as unstructured text and embed it for vector search
D) Rely on the model's parametric knowledge

2. You are designing an Azure Function app that exposes a public API.
The solution must:
- Validate incoming request data and return results immediately to the
caller.
- Support Microsoft Entra ID authentication.
- Guarantee idempotent processing when the same request is retried.
- Scale automatically under variable load.
- Avoid duplicate processing.
You need to implement a trigger.
Which trigger should you implement?

A) Azure Queue storage
B) Service Bus topic
C) Azure Event Grid
D) HTTP

3. Hotspot Question
You are developing a Retrieval-Augmented Generation (RAG) solution for a company.
AI responses and embedding vectors are cached in Redis.
The solution must meet the following requirements:
- AI responses must expire exactly 24 hours after they are cached.
- Cached embeddings must always reflect the current source data.
You need to configure Redis to meet the requirements.
NOTE: Each correct selection is worth one point.

4. An AI platform uses App Configuration for feature flags and endpoint routing.
The platform stores secrets alongside configuration data and does NOT support dynamic refresh.
The solution must support dynamic configuration refresh while ensuring that secrets are NOT stored in App Configuration.
You need to enable secure dynamic configuration management for the platform.
Which three actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

A) Use a service principal secret for both App Configuration and Key Vault access.
B) Store configuration values in environment variables.
C) Store API keys in Key Vault.
D) Allow configuration updates with a polling interval.
E) Use managed identity for both App Configuration and Key Vault access.

5. 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.

Solutions: