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Microsoft · Exam reference
About the Microsoft AI-200 exam
Microsoft AI-200 (Developing AI Cloud Solutions on Azure) is the exam behind the Azure AI Cloud Developer Associate certification: building containerized AI back-ends, wiring Cosmos DB and PostgreSQL vector search into retrieval-augmented generation, and securing and monitoring what you ship. It targets developers who now spend most of their time on AI-services back-ends rather than general-purpose Azure apps, and effectively succeeds AZ-204 for that audience.
10
Sample questions
100 min
Exam time limit
70%
Passing score
$165
Exam voucher
AI-200 is Microsoft's newest developer-track exam, and it exists because AI backend work stopped looking like the rest of Azure development. Where AZ-204 tested you on App Service and generic storage, AI-200 tests whether you can wire Cosmos DB and Azure Database for PostgreSQL for vector similarity search, keep a retrieval-augmented generation pipeline fast under real Request Unit and pgvector budgets, and get a containerized AI service through Azure Container Apps or AKS without babysitting it. The exam splits close to evenly across four skills: standing up containerized solutions on Azure, building AI features on Cosmos DB and PostgreSQL data services, connecting those services together with Service Bus, Event Grid and Azure Functions, and then securing, monitoring and troubleshooting what you built with Key Vault, App Configuration, OpenTelemetry and KQL. Nearly a third of the exam sits in that second skill alone, so candidates who treat vector search and RAG patterns as a side note tend to lose the most marks there. Most people preparing for AI-200 already know how to write the code; the exam catches them on Azure-specific defaults, like which Cosmos DB consistency level a scenario actually calls for, or when a change feed processor is the right tool instead of polling. This practice bank is built around exactly those decision points: real service configuration trade-offs, not restated documentation.
Exam Domains Covered
Exam Format & Details
Microsoft has not published an exact question count for AI-200; its general guidance is that most role-based exams run 40 to 60 questions. Expect multiple-choice, multiple-response and case-study items built around backend Azure development scenarios (SDK calls, indexing decisions, KQL queries), rather than definition recall. Associate role-based exams run 100 minutes of exam time within a 120-minute seat unless Microsoft has confirmed a lab section, and AI-200's own exam page carries no lab notice, unlike the small set of Microsoft exams that do. Scored on a scale of 1 to 1000, with 700 needed to pass, which this app tracks as 70%. Booked through Pearson VUE, online-proctored or at a test centre; the standard US associate-exam voucher price is 165 USD, with regional pricing elsewhere. AI-200 launched as a beta exam in spring 2026 and reached general availability in May 2026.
Why Practice Questions Matter
AI-200 questions are scenario-driven: you are given a partial architecture and asked which Azure service, index type, or security control actually fits the constraint described, not to recall a definition. That format punishes candidates who studied the services in isolation instead of the trade-offs between them. Practicing against a bank built the same way surfaces exactly where you would guess on exam day, whether that's picking a Cosmos DB indexing policy under a cost constraint or choosing Event Grid over Service Bus for a given delivery guarantee, before it costs you the exam attempt.
Sample Practice Questions
The following questions are a preview of the type of syllabus-aligned questions you will practise in CertCrush. They reflect the format and reasoning style of the Microsoft AI-200 exam — not actual exam content.
Q1.What does an output binding do when an Azure Function finishes executing?
- A.Automatically delivers the function's result to another configured service
- B.Automatically retries the function if it produced an error
- C.Automatically scales the function app to handle more load
- D.Automatically restarts the function on a fixed schedule
Domain: Connect to and consume Azure services
Q2.A team wants an application to run identically on a developer laptop, a build server, and an Azure data center without behavioral differences between environments. What is the core difference between the container approach and a virtual machine (VM) approach to achieving this?
- A.A container virtualizes only the application layer and shares the host operating system, while a VM virtualizes an entire computer with its own operating system.
- B.A container includes its own full guest operating system, while a VM shares the host operating system kernel.
- C.A VM starts in seconds while a container can take minutes to start because it carries more dependencies.
- D.Containers and VMs both require a completely separate operating system per instance, with no meaningful difference between them.
Domain: Develop containerized solutions on Azure
Q3.A developer needs to bundle an application's code, runtime, system libraries, and configuration into one standardized package that behaves the same way wherever it runs. What should the developer create?
- A.A container image
- B.A virtual machine template
- C.A shell script that installs dependencies at runtime
- D.A general-purpose storage container in a storage account
Domain: Develop containerized solutions on Azure
Q4.Which file contains the step-by-step, plain-text instructions for how to build a container image, such as the base image to start from, files to copy in, and the startup command to run?
- A.A Dockerfile
- B.A YAML deployment manifest
- C.An ARM template
- D.A Bicep file
Domain: Develop containerized solutions on Azure
Q5.A Dockerfile installs application dependencies before it copies in the application source code. Why does this ordering usually make repeated builds faster?
- A.Layer caching means only the changed instruction and the layers after it need to rebuild, and dependencies change less often than code.
- B.Installing dependencies first reduces the total number of layers the image contains.
- C.Dockerfile instruction order only affects readability, not build performance.
- D.It forces the build to run in a region closer to the registry, reducing network latency.
Domain: Develop containerized solutions on Azure
Frequently Asked Questions
What is included in the free Microsoft AI-200 sample?
The free sample includes 10 syllabus-aligned practice questions, sample flashcards, and a preview chapter from the study guide. No account or payment is required to try the sample.
How many questions are in the full Microsoft AI-200 course?
The full course includes a comprehensive question bank covering all exam domains. You can see the total question count on the Microsoft AI-200 course page.
Are these official Microsoft exam questions?
No. CertCrush questions are independently written and syllabus-aligned — they mirror the format, difficulty, and reasoning style of the official exam. We are not affiliated with or endorsed by Microsoft.
Which domains does the Microsoft AI-200 course cover?
The course covers 4 exam domains: Develop containerized solutions on Azure, Develop AI solutions by using Azure data management services, Connect to and consume Azure services, Secure, monitor, troubleshoot Azure solutions.
Can I study on mobile?
Yes. CertCrush is fully responsive and works on phones, tablets, and desktops. The timed exam, flashcards, and study guide all work on mobile without installing an app.
What happens when I create an account?
Creating a free account lets you access full courses, track your weak areas by domain, and resume practice sessions across devices. No credit card is required to register.