Free AI-200 mock exams

AI-200 is a back-end developer exam, not an AI exam. Models barely appear; the questions are about the services an AI app runs on — containers, databases with vector search, a cache, messaging, Functions and the plumbing that keeps them secure and observable. Candidates who revise prompts and model choices meet a mock that is mostly about hosting, data and integration.

The data domain carries the most weight, and it spreads across three different stores. Cosmos DB, PostgreSQL with pgvector and Managed Redis can all hold embeddings and answer a similarity search, so the distractors are rarely wrong products — they are the right idea in the store, index type or setting that does not fit the requirement. Revise what each index trades away (recall, build time, memory) rather than only how to create it.

Expect to read code. A large share of the questions show a short Python snippet, a SQL statement, a KQL query or a YAML manifest and ask which line completes it or what it returns. If you have never run the SDKs, these are the marks you lose; an afternoon working through the official quickstarts usually fixes more of them than another pass through the notes.

Messaging questions hinge on delivery guarantees. Service Bus or Event Grid, a queue or a topic, peek-lock or receive-and-delete, a retry or the dead-letter queue — the scenario usually names a requirement such as processing each message once or reacting to an event within seconds, and that requirement decides the answer. Read it before the options.

Requirement phrases are hard constraints. Without storing credentials in code, least privilege, scale to zero, minimize development effort — Microsoft writes them into the stem because they rule out options that would otherwise work. A miss is often a working design that ignores one of them, so check the stem again when you review.