Microsoft AI-200 : Developing AI Cloud Solutions on Azure

AI-200 real exams

Exam Code: AI-200

Exam Name: Developing AI Cloud Solutions on Azure

Updated: Aug 13, 2026

Q & A: 93 Questions and Answers

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Microsoft AI-200 Exam Syllabus Topics:

SectionObjectives
Topic 1: Develop AI solutions by using Azure data management services- Work with Azure data platforms for AI workloads
  • 1. Vector databases
  • 2. Azure data management services
  • 3. Data integration for AI applications
Topic 2: Develop containerized solutions on Azure- Implement containerized applications
  • 1. Manage containerized compute environments
  • 2. Deploy AI workloads in containers
  • 3. Implement scalable hosting patterns
Topic 3: Connect to and consume Azure services- Integrate Azure services
  • 1. Azure SDKs
  • 2. Third-party SDKs
  • 3. Azure messaging and eventing
  • 4. Event-driven architectures
  • 5. Serverless integration patterns
Topic 4: Secure, monitor, troubleshoot Azure solutions- Operate AI cloud solutions
  • 1. Monitoring and observability
  • 2. Performance optimization
  • 3. Security and secret management
  • 4. Troubleshooting Azure solutions

Microsoft Developing AI Cloud Solutions on Azure Sample Questions:

1. 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.


2. You deploy a production Azure Function app that connects to an Azure SQL Database.
The solution must provide the following functionality:
- Prevent secrets from being exposed in source control.
- Support secret rotation without redeploying the function app.
- Avoid downtime during credential updates.
You need to configure secure and maintainable secret management.
What should you configure?

A) Parameter file stored in source control
B) Environment variables in local.settings.json
C) Hard-coded connection string in the startup class
D) Application settings with Key Vault references


3. A RAG application's retrieval step is returning documents that are topically related but not precisely relevant to the user's question. You need to improve retrieval precision without retraining any model. What should you do?

A) Enable semantic ranking (re-ranking) in Azure AI Search
B) Disable vector search and use only keyword search
C) Reduce the number of indexed documents
D) Increase the embedding model's dimensionality only


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


5. Hotspot Question
You are developing several microservices to run on Azure Container Apps. External HTTP ingress traffic has been enabled for the microservices.
A deployed microservice must be updated to allow users to test new features. You have the following requirements:
- Enable and maintain a single URL for the updated microservice to
provide to test users.
- Update the microservice that corresponds to the current microservice
version.
You need to configure Azure Container Apps.
Which features should you configure? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.


Solutions:

Question # 1
Answer: Only visible for members
Question # 2
Answer: D
Question # 3
Answer: A
Question # 4
Answer: A
Question # 5
Answer: Only visible for members

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