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Real Microsoft AI-200 practice exam questions for easy pass!

Updated: Sep 08, 2026

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Microsoft AI-200 Exam Overview:

Certification Vendor:Microsoft
Exam Name:Developing AI Cloud Solutions on Azure
Exam Number:AI-200
Passing Score:700 (out of 1000)
Available Languages:English, Japanese, Portuguese (Brazil), Spanish, Korean, Chinese (Simplified), French, German
Related Certifications:Microsoft Certified: Azure Developer Associate (retiring July 31, 2026)
Exam Format:Multiple choice, Scenario-based questions, Case studies
Real Exam Qty:40–60
Exam Duration:100 minutes
Exam Price:$165 USD
Certificate Validity Period:1 year, renewable free via online assessment
Recommended Training:AI-200T00: Developing AI Cloud Solutions on Azure
Exam Registration:Pearson VUE Scheduling
Microsoft Certification Registration
Sample Questions:Microsoft AI-200 Sample Questions
Exam Way:Online proctored or onsite at Pearson VUE test centers
Pre Condition:Basic programming experience (Python, .NET, JavaScript, or similar); familiarity with Azure development, containers, and cloud architectures
Official Syllabus URL:https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/ai-200

Microsoft AI-200 Exam Syllabus Topics:

SectionWeightObjectives
Develop containerized AI solutions on Azure25%- Monitor and troubleshoot containerized workloads
  • 1. Log analysis, health checks, and performance monitoring
  • 2. Manage configurations and secrets for containers
- Implement container hosting environments
  • 1. Deploy to Azure Container Apps and Azure Kubernetes Service (AKS)
  • 2. Configure scaling, networking, and security for containers
  • 3. Azure Container Registry: store, version, manage images
Develop AI solutions using Azure data services30%- Implement vector-enabled databases
  • 1. Azure Cosmos DB for NoSQL with vector search
  • 2. Azure Database for PostgreSQL with pgvector extension
  • 3. Azure Managed Redis for caching, streaming, and vector storage
- Design and optimize data access and retrieval
  • 1. Implement hybrid search and retrieval patterns
  • 2. Indexing strategies, query optimization, and consistency models
Secure, monitor, and optimize AI solutions20%- Manage security and configuration
  • 1. App Configuration for dynamic settings
  • 2. Managed identities and access control
  • 3. Azure Key Vault for secrets, keys, and certificates
- Implement observability and reliability
  • 1. OpenTelemetry and Azure Monitor integration
  • 2. Logging, metrics, and distributed tracing
  • 3. Optimize performance, cost, and scalability
Integrate backend services and build event-driven architectures25%- Build serverless APIs and workflows
  • 1. Orchestrate AI pipelines and workflows
  • 2. Azure Functions for AI integration and processing
- Implement messaging and event systems
  • 1. Azure Event Grid for event-driven processing
  • 2. Connect services and expose APIs securely
  • 3. Azure Service Bus for reliable messaging

Microsoft Developing AI Cloud Solutions on Azure Sample Questions:

Question 1

You maintain multiple versions of a container image in Azure Container Registry.
The production deployment must always run the exact same image build even if tags are changed later.
You need to ensure predictable and immutable image selection during deployment.
What should you do?

A. Tag the image as production and deploy it by using the production tag.
B. Identify the image by using its SHA digest.
C. Schedule nightly rebuilds of the image.
D. Configure deployment to use the latest tag.


Question 2

Drag and Drop Question
A semantic search application queries Azure Database for PostgreSQL and stores document embeddings and metadata in a table with the following columns:
- embedding (pgvector)
- department
- created_at
The application must return the top five most similar documents for a given query embedding only from the finance department.
You need to implement semantic retrieval with metadata filtering.
Which query components should you select? To answer, move the appropriate query components to the correct requirements. You may use each query component 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.


Question 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.


Question 4

You optimize an AI inference API that uses Redis caching.
You must reduce the risk of serving outdated data while minimizing cache management overhead.
You need to implement the caching strategy that satisfies the requirements.
What should you do?

A. Reset expiration on each read.
B. Increase memory allocation.
C. Set eviction policy to allkeys-lru.
D. Trigger invalidation when source data changes.


Question 5

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.


Solutions:

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

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