Microsoft AI-200 Practice Test Questions Answers
Exam Code: AI-200
(Updated 50 Q&As with Explanation)
Exam Name: Developing AI Cloud Solutions on Azure
Last Update: 05-Sep-2026
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AI-200 Overview
Microsoft AI-200 Exam Overview
| Exam Detail | Information |
|---|---|
| Certification | Microsoft Certified: Azure AI Cloud Developer Associate |
| Exam Code | AI-200 |
| Exam Name | Developing AI Cloud Solutions on Azure |
| Level | Intermediate |
| Role | Developer |
| Platform | Microsoft Azure |
| Exam Duration | 120 minutes |
| Passing Score | 700 or greater |
| Exam Language | English |
| Main Focus | Developing and implementing backend AI solutions on Azure |
| Key Skills | Python, Azure SDKs, data management, vector databases, containers, messaging, monitoring, and troubleshooting |
| Question/Assessment Format | Microsoft-proctored assessment; interactive components may be included |
| Current Practice Assessment | Microsoft currently states that a Practice Assessment is not yet available |
| Recommended Experience | Hands-on experience developing and deploying AI cloud solutions on Azure |
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Microsoft AI-200 Exam Topics Breakdown
| Domain | Weight | Key Topics |
|---|---|---|
| Develop containerized solutions on Azure | 20–25% | Azure Container Registry, container images, ACR Tasks, Azure App Service, Azure Container Apps, revisions, KEDA, Azure Kubernetes Service (AKS), logging, events, and troubleshooting |
| Develop AI solutions using Azure data management services | 25–30% | Azure Cosmos DB for NoSQL, Azure Database for PostgreSQL, embeddings, vector similarity search, indexing, RAG patterns, pgvector, and Azure Managed Redis |
| Connect to and consume Azure services | 20–25% | Azure Service Bus, queues, topics, subscriptions, dead-letter queues, Azure Event Grid, filters, retries, and Azure Functions |
| Secure, monitor, and troubleshoot Azure solutions | 20–25% | Azure Key Vault, secret management, Azure App Configuration, OpenTelemetry, KQL, logs, metrics, monitoring, and troubleshooting |
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