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Free AI-200 Exam Prep

Exam AI-200: Develop AI Cloud Solutions on Microsoft Azure

Pass your AI-200 exam without spending hundreds on expensive prep courses. Free study guides, practice questions, flashcards, and related exam resources.

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Your Study Path

AI-200 Microsoft Azure Certifications License: Complete Roadmap

Follow this path to maximize your chances of passing on the first try

1

Phase 1: Compute and ContainerizationYou are here

Master Azure Container Apps, AKS, Azure Functions, KEDA scaling, jobs, sidecars (Dapr), and revisions/traffic splits.

18
hours
2

Phase 2: AI-Enabled Data Services

Design with Cosmos DB for NoSQL (vector search, change feed), Azure Database for PostgreSQL with pgvector, Azure Managed Redis, and Blob Storage.

20
hours
3

Phase 3: Eventing and Messaging

Integrate with Service Bus, Event Grid, Event Hubs (Kafka), Logic Apps, and Durable Functions for event-driven AI pipelines.

16
hours
4

Phase 4: AI Service Integration, Identity, and Security

Call Azure OpenAI and Azure AI services with managed identity; use APIM as an AI gateway; secure with Key Vault, private endpoints, WAF, and Defender for Containers.

18
hours
5

Phase 5: Observability, CI/CD, and Timed Review

Instrument with OpenTelemetry into Application Insights; deploy with Bicep + GitHub Actions; complete timed mixed-domain practice exams.

16
hours
Estimated total study time
88 hours
That's about 9 weeks at 10 hours/week

Can You Take the AI-200 Exam?

Check if you meet the basic eligibility requirements

Age
Education
No formal education requirement
Experience
Microsoft recommends hands-on experience building backend and AI-driven applications on Azure with containerized compute, data services for AI, event-driven workflows, and application security and monitoring
Additional Requirements
  • Exam is proctored and may include scenario-based and interactive question types
  • Passing score is 700
  • Associate certification requires annual renewal on Microsoft Learn at no cost

AI-200 Quick Facts

Time to Get Licensed

6-10 weeks for most candidates with Azure and software-development experience

From start to license in hand

Exam Provider

Pearson VUE

Remote Testing Available
Schedule Your Exam

Retake Policy

After a first failed attempt, retake is allowed after 24 hours. If you fail a second time, wait 14 days between subsequent retakes. Maximum five attempts in a 12-month period.

Total Cost Breakdown

Exam FeeUS$165
Total Estimated CostUS$165-US$330
Why Choose Us

Free AI-200 Prep That Actually Works

The official pass rate is Microsoft does not publish public exam-level pass-rate percentages.. Our students do better.

100 Practice Questions

AI-200-aligned questions across the inferred six skills areas from the AI-200T00-A course.

AI-Powered Learning

Identify weak spots in Container Apps, Cosmos DB, pgvector, Redis, messaging, and observability.

2026 Updated

Aligned to the AI-200T00-A course modules and 2026 Azure AI patterns.

Free Access

Free AI-200 practice questions with no signup required.

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What You'll Study

13 chapters covering everything you need to pass

AI-200 Exam Details

Exam AI-200: Develop AI Cloud Solutions on Microsoft Azure

Administered by Microsoft

Official Source
700/1000
Passing Score
Typically
Questions
100
Minutes
Price varies by country or region; US$165 in the United States
Exam Fee
Study time: 80-140 hours
Prerequisites: No formal prerequisite exam; Microsoft recommends hands-on experience building backend and AI-driven apps on Azure with containerized compute, data services for AI, event-driven workflows, and application security and monitoring
Valid for: 1 year (free annual renewal assessment on Microsoft Learn)

Exam Content Breakdown

Based on the official Microsoft content outline

Compute and Containerization Patterns20-25% (inferred)

Azure Container Apps, AKS, Azure Functions, scale rules (KEDA), revisions, traffic splits, jobs, sidecars (Dapr), GPU node pools.

AI-Enabled Data Services20-25% (inferred)

Cosmos DB for NoSQL with vector search, Azure Database for PostgreSQL with pgvector, Azure Managed Redis (caching, streams, vector), Blob Storage, Azure AI Search.

Event-Driven and Message-Based Architectures15-20% (inferred)

Service Bus (queues/topics/DLQ), Event Grid (CloudEvents pub/sub), Event Hubs (high-throughput, Kafka endpoint), Logic Apps, Durable Functions.

AI Service Integration and Resilience15-20% (inferred)

Azure OpenAI (chat, function calling, structured outputs, streaming), Azure AI Search hybrid+semantic, Document Intelligence, Speech, Language, retries, circuit breakers, APIM AI gateway.

Identity, Security, and Configuration10-15% (inferred)

Microsoft Entra ID, managed identity, workload identity, OIDC federation, Key Vault, App Configuration, private endpoints, WAF, Defender for Containers.

Distributed Observability and CI/CD10-15% (inferred)

Application Insights, OpenTelemetry, W3C trace context, Log Analytics + KQL, Workbooks, Bicep, GitHub Actions, deployment slots, azd templates.

What's Included

13 Chapters

Complete exam coverage

Practice Quizzes

With detailed explanations

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What's Next After the AI-200?

After passing the AI-200, you can pursue these career paths

AI-200 Exam FAQ

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