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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.
Practice content last updated · Independently written and aligned to Microsoft’s published exam objectives.
About the Microsoft AI-200 Exam
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
- Develop containerized solutions on Azure24%
- Develop AI solutions by using Azure data management services28%
- Connect to and consume Azure services24%
- Secure, monitor, troubleshoot Azure solutions24%
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.A team is sizing infrastructure for a new pgvector-based similarity search workload. Which TWO statements correctly describe how to size the deployment? (Choose TWO.)
- A.Memory should be sized around the ANN index's footprint, since indexes that fit entirely in memory are fastest.
- B.Storage cost for the vector column scales with row count multiplied by embedding dimension count.
- C.Compute needs are steady throughout the day and never spike during index builds.
- D.Storage cost depends only on row count and is unaffected by embedding dimension.
- E.Memory sizing should be based only on the raw data's footprint, ignoring the index entirely.
Domain: Develop AI solutions by using Azure data management services
Q2.Which of the following can act as a handler for an Event Grid event subscription?
- A.An Azure Function, a Logic App, or a webhook endpoint, among other options
- B.Only another Event Grid topic
- C.Only a Cosmos DB container
- D.Only a virtual machine's local disk
Domain: Connect to and consume Azure services
Q3.Which Cosmos DB function is used inside a query to calculate how close a stored vector is to a query vector?
- A.VectorDistance()
- B.ARRAY_CONTAINS()
- C.CHANGE_FEED()
- D.PARTITION_KEY()
Domain: Develop AI solutions by using Azure data management services
Q4.After excluding a property from a container's indexing policy, what happens if the application still needs to read that property's value on a known item?
- A.The property can still be read normally, it just cannot be efficiently filtered or sorted on
- B.The property is permanently deleted from every item
- C.The property can only be read through the change feed
- D.Reading the property now requires Strong consistency
Domain: Develop AI solutions by using Azure data management services
Q5.A document-processing pipeline receives work asynchronously as messages land in a queue, well before any HTTP request is ever involved. Which KEDA scale trigger type matches this workload's demand pattern?
- A.Queue-based trigger
- B.HTTP-based trigger
- C.Custom trigger
- D.A fixed CPU-usage threshold trigger
Domain: Develop containerized solutions on Azure
Q6.A team wants container images to build and push automatically whenever new code is committed, without anyone running a manual build command. Which Azure Container Registry feature provides this?
- A.ACR Tasks
- B.Azure Automation runbooks
- C.Azure Logic Apps
- D.Azure Monitor alerts
Domain: Develop containerized solutions on Azure
Q7.Which tool allows a developer to run and test Azure Functions, including trigger simulation, on their own machine before deploying anything to Azure?
- A.Azure Functions Core Tools
- B.Azure Cloud Shell
- C.Azure Resource Manager templates
- D.Azure Monitor Application Insights
Domain: Connect to and consume Azure services
Q8.A vector search needs to run only a handful of times per minute over a large, constantly evolving dataset. Which approach is the better fit compared to an in-memory Redis vector index?
- A.pgvector or Cosmos DB's native vector support, queried directly against the primary database.
- B.A Redis vector index, since Redis vector search is always faster regardless of query volume or dataset size.
- C.A brand new database service created solely to hold this dataset in memory.
- D.Disabling similarity search entirely and falling back to exact keyword matching only.
Domain: Develop AI solutions by using Azure data management services
Q9.A team wants application code that authenticates with a developer's signed-in session while running locally, and automatically authenticates with a managed identity once deployed to Azure, without maintaining two separate code paths. Which approach achieves this?
- A.Use a token credential chain that tries multiple authentication methods in order until one succeeds
- B.Hardcode the managed identity's credentials into the application configuration for both environments
- C.Store the developer's personal password as an environment variable in production
- D.Disable authentication in the local environment and enable it only in production
Domain: Connect to and consume Azure services
Q10.Why does building or rebuilding an ANN index for a pgvector workload create a distinct capacity planning concern compared to steady-state querying?
- A.Index builds are CPU-intensive and occur in bursts, so a compute tier sized only for steady querying can struggle during those bursts.
- B.Index builds consume no CPU at all and only affect network bandwidth.
- C.Index builds happen continuously at a constant low rate throughout the day.
- D.Index builds only affect storage cost, never compute.
Domain: Develop AI solutions by using Azure data management services
Microsoft AI-200 guides & exam news
AZ-204 Is Being Replaced by AI-200 in 2026: Should You Take AZ-204 Before 31 July?
AZ-204 retires on 31 July 2026 and AI-200 becomes the new Azure developer certification. Here is a clear, honest ruling on whether to rush AZ-204 before the deadline or pivot straight to AI-200, with exam facts for both.
How to Pass the Microsoft AI-200 Exam in 2026: An 8-Week Study Plan for the New Azure AI Cloud Developer Certification
The new Microsoft AI-200 exam turns the old AZ-204 developer track into an AI-first certification. Here is an 8-week study plan covering all four domains, the vector database content that trips people up, and how to pass on your first attempt.
SC-500 vs SC-200 in 2026: Which Microsoft Security Exam Should You Take?
SC-500 is for engineers who build and harden Azure, hybrid and AI workloads. SC-200 is for analysts who detect, investigate and respond. How the two 2026 exams differ, where their objectives overlap, and which to take first.
Microsoft AB-650 Exam Topics and Domain Weightings in 2026: The MS-102 Replacement, Now in Beta
AB-650 replaces MS-102 as Microsoft's tenant administration exam, and the weightings tell a different story. Security and governance take 40 to 45 percent, AI services take 35 to 40 percent, and classic tenant admin is down to a fifth of the exam.
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 Microsoft AI-200 course includes 400 practice questions, covering all 4 exam domains. Every question carries a full explanation for the right answer and the wrong ones.
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.
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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.
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