Microsoft AI-200 test insides dumps : Developing AI Cloud Solutions on Azure

Microsoft AI-200 test insides dumps
  • Exam Code: AI-200
  • Exam Name: Developing AI Cloud Solutions on Azure
  • Updated: Aug 02, 2026
  • Q & A: 93 Questions and Answers
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Microsoft AI-200 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Integrate backend services and build event-driven architectures25%- Build serverless APIs and workflows
  • 1. Azure Functions for AI integration and processing
  • 2. Orchestrate AI pipelines and workflows
- Implement messaging and event systems
  • 1. Connect services and expose APIs securely
  • 2. Azure Service Bus for reliable messaging
  • 3. Azure Event Grid for event-driven processing
Topic 2: Develop AI solutions using Azure data services30%- Design and optimize data access and retrieval
  • 1. Indexing strategies, query optimization, and consistency models
  • 2. Implement hybrid search and retrieval patterns
- Implement vector-enabled databases
  • 1. Azure Database for PostgreSQL with pgvector extension
  • 2. Azure Managed Redis for caching, streaming, and vector storage
  • 3. Azure Cosmos DB for NoSQL with vector search
Topic 3: 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. Configure scaling, networking, and security for containers
  • 2. Deploy to Azure Container Apps and Azure Kubernetes Service (AKS)
  • 3. Azure Container Registry: store, version, manage images
Topic 4: Secure, monitor, and optimize AI solutions20%- Implement observability and reliability
  • 1. OpenTelemetry and Azure Monitor integration
  • 2. Optimize performance, cost, and scalability
  • 3. Logging, metrics, and distributed tracing
- Manage security and configuration
  • 1. Managed identities and access control
  • 2. Azure Key Vault for secrets, keys, and certificates
  • 3. App Configuration for dynamic settings

Microsoft Developing AI Cloud Solutions on Azure Sample Questions:

1. You process Azure Service Bus messages that require a dependent external API call.
If the API is temporarily unavailable, you must delay processing of the message without incrementing the delivery count.
You need to find a way to process the message when the API is available while keeping the message accessible.
Which message action should you perform?

A) Abandon
B) Dead-letter
C) Complete
D) Defer


2. 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.


3. You are developing an AI search API that caches semantic search results in Redis.
Search results must remain cached for 10 minutes. If the underlying data changes, cached entries must NOT be returned.
You need to implement a cache-aside strategy to ensure data consistency.
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

A) Implement sliding expiration based on key access.
B) Configure a 10-minute Time to Live on each key.
C) Delete related cache keys when the source data changes.
D) Configure a cache notification for key space events.


4. Hotspot Question
You deploy a private container image from Azure Container Registry (ACR) to App Service.
App Service must authenticate to ACR to pull the image.
The solution must NOT store static registry credentials.
You need to configure the secure image pull authentication.
Which configurations should you use? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.


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


Solutions:

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

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