Microsoft · AI-200 · Associate

Developing AI Cloud Solutions on Azure (AI-200) — Practice Questions and Mock Exam

Name: Pass-IT
Author: Pass-IT

Prepare for AI-200 with original practice questions and clear answer explanations. Ask Alex, your AI tutor, when you need more detail, use your results to identify topics to review, and practice your pacing with timed mock exams.

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50Mock exam questions

120minTime limit

700/ 1000Passing score

Checked against Microsoft · August 2026 · Current exam version

Overview

About the exam

Exam AI-200, Developing AI Cloud Solutions on Azure, leads to the Microsoft Certified: Azure AI Cloud Developer Associate certification and replaces AZ-204 (Azure Developer Associate), whose certification and renewal assessment are now retired. It assumes the application under test is an AI system rather than a general-purpose Azure app, covering containerized solutions, AI development with Azure data management services, connecting to and consuming Azure services, and securing, monitoring, and troubleshooting the result. Python proficiency is required throughout.

This associate-level certification is designed for developers who contribute to all phases of implementing AI solutions on Azure, with an emphasis on back-end services and components. Candidates support the full development lifecycle from requirements gathering through deployment and monitoring, treating vector databases, event-driven pipelines, and distributed observability as ordinary parts of the job rather than specialisms.

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Try five AI-200 questions

Try five practice questions from the app’s current Developing AI Cloud Solutions on Azure question bank, with answers and explanations.

Develop AI solutions by using Azure data management services5 / 5

You back a document pipeline with the Azure Cosmos DB for NoSQL change feed in latest version mode. Deleting an item from the container will not produce a change feed event for that deletion.

AlexFull explanation from Alex

The change feed is a persistent, ordered log of item changes per logical partition, and it is the standard way to keep a downstream index (a vector store, a search index, a cache) in sync with Cosmos DB. Latest version mode gives you only the most recent state of each changed item, with unlimited retention. It intentionally omits deletes, which is exactly the case that silently leaves stale documents in a derived index.

Sourcelearn.microsoft.com

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Question pool

436 practice questions

The Pass-IT question pool gives you material to practice for AI-200. A Pass-IT mock exam uses 50 questions and a 120-minute time limit; these are practice settings.

Pool details: AI-200

Exam details checked against MicrosoftAugust 28, 2026

date of the last check against the official Microsoft source

Passing score700 / 1,000

as published by Microsoft

Objectives in the guide36 objectives listed in the official guide

across 4 domains in the official exam guide

Pool size436 questions

= The pool size is equivalent to 8 sets of 50 questions; this does not mean that each mock exam uses a separate set.

Blueprint domains4 domains in the exam blueprint

Develop containerized solutions on Azure 101 · Develop AI solutions by using Azure data management services 118 · Connect to and consume Azure services 106 · Secure, monitor, and troubleshoot Azure solutions 111

Recorded as checked against sources436 of 436

questions recorded as having their answer, options, and explanation checked against official Microsoft documentation

How questions are made →

Exam domains

What's on the exam

Azure data management services carry the most weight at 25–30%, and the domain is vector-centric: embeddings and similarity search in Cosmos DB, pgvector sizing and RAG patterns in PostgreSQL, and vector indexing in Managed Redis. Containerized solutions, service integration (Service Bus, Event Grid, Functions), and securing, monitoring, and troubleshooting each land at 20–25% — the general-purpose Azure development skills AZ-204 used to test, now applied to AI workloads.

Candidates who prepared for AZ-204 and expect a light AI add-on misjudge the exam: the data-management domain alone outweighs any single one of the other three, and it rewards vector-database fluency specifically, not generic CRUD experience.

Exam blueprint: AI-200

Develop containerized solutions on Azure20–25%

Container application hosting and orchestration: building, storing, versioning and managing images in Azure Container Registry and running ACR Tasks; deploying containers to Azure App Service with environment variables and secrets; deploying to Azure Container Apps with environment configuration and revision management; event-driven scaling with KEDA; deploying and managing AKS workloads from manifest files; and troubleshooting both AKS and Container Apps by inspecting logs, events and end-to-end connectivity. Vendor states this domain at 20-25%.

≈ 10 h

Develop AI solutions by using Azure data management services25–30%

The vector-data core of the exam. Azure Cosmos DB for NoSQL: SDK connections and queries, tuning query performance and Request Unit consumption via indexing policies and consistency levels, storing and retrieving embeddings for vector similarity search, and change feed processors. Azure Database for PostgreSQL: schema modelling and indexing strategies, sizing compute/memory/storage for vector workloads, reducing pgvector compute overhead, vector similarity search and RAG patterns with metadata filtering, and connection optimisation. Azure Managed Redis: caching with expiration and invalidation, plus vector indexing for similarity search. Vendor states this domain at 25-30% — the single heaviest area.

≈ 13 h

Connect to and consume Azure services20–25%

Event- and message-based AI solutions plus serverless compute: queueing and processing back-end operations with Azure Service Bus including dead-letter queue handling, messages, topics and subscriptions; event-driven workflows with Azure Event Grid including filters, custom events and retries; and Azure Functions covering serverless APIs, triggers and bindings, and function app configuration and deployment. Vendor states this domain at 20-25%.

≈ 11 h

Secure, monitor, and troubleshoot Azure solutions20–25%

Securing secrets with Azure Key Vault including rotation and retrieval; storing and retrieving application configuration with Azure App Configuration; distributed tracing with OpenTelemetry SDKs; and writing KQL queries to analyse logs and metrics. Vendor states this domain at 20-25%.

≈ 11 h

Format

Exam format and question types

Expect roughly 40 to 60 questions in about 120 minutes. Item types include single-answer multiple choice, multiple response, drag-and-drop ordering and matching. Scoring is scaled from 1 to 1000 and 700 is required to pass, so the raw percentage of questions answered correctly is not the reported score. Most questions cover generally available features; preview features can appear where they are in common use.

Question types: AI-200

Multiple Choice70%

Select the single answer that best meets the question’s requirements.

Drag & Drop9%

Move items into the slots, groups, or sequence specified by the task.

Multiple Response7%

Select multiple answers. Follow the question’s instructions on how many to choose.

Dropdown6%

Choose options from dropdown menus to complete a statement or configuration.

Ordering4%

Arrange the steps in the sequence needed to complete the process.

True / False4%

Decide whether a statement is true or false, paying attention to its conditions and wording.

See Microsoft for official question-format information. The shares shown describe the Pass-IT practice pool; they do not establish the proportions on the official exam.

Planning

Preparing for AI-200

AI-200 is delivered through Pearson VUE, either at a test center or with online proctoring, and is currently offered in English only. The certification is valid for one year, and Microsoft opens a free renewal assessment on Learn starting six months before it expires.

Preparation and logistics: AI-200

Preparation

Illustrative study time25–70 h

illustrative planning range: 25 h with relevant experience to 70 h when starting out; your needs may fall outside this range

LevelAssociate

Recommended backgroundProficiency in Python programming and in Azure SDKs and third-party SDKs used on Azure; working knowledge of Azure data management services, Azure messaging and eventing, vector databases, containerized application deployment on Azure, and Azure monitoring and troubleshooting. No formal certification prerequisite.

Taking and maintaining the certification

DeliveryPearson VUE (test center or online proctored)

Retake policy24-hour wait after a failed first attempt; escalating waits after that; maximum of 5 attempts within a 12-month period.

Certification validity1 year

The certification expires annually. Renew for free by passing the online renewal assessment on Microsoft Learn within the six-month window before expiry.

Official guideView on provider site

Study notes

Common pitfalls

Topics to review: AI-200

01AZ-204 habits
Preparing as if this were AZ-204 plus AI. The data-management domain is the heaviest at 25-30% and is vector-centric; general-purpose Azure development knowledge does not cover it.
02Request Units as trivia
RU consumption in Cosmos DB is a tunable cost and performance lever shaped by indexing choices and consistency level selection.
03pgvector cost blindness
PostgreSQL questions test reducing pgvector compute overhead and sizing compute, memory, and storage for vector workloads.
04Hand-waving observability
The exam expects hands-on instrumentation — adding OpenTelemetry tracing spans to an app and writing original Kusto (KQL) queries to read the resulting logs and metrics.
05Ignoring dead-letter handling
Service Bus questions cover dead-letter queue handling, topics, and subscriptions alongside basic send and receive operations.

Practice with questions and explanations in Pass-IT →

Questions

Frequently asked questions

How long is the Developing AI Cloud Solutions on Azure exam?

The AI-200 exam has 50 questions and a 120-minute time limit.

What is the passing score for Developing AI Cloud Solutions on Azure?

The passing score for the AI-200 exam is 700 / 1000.

Which pitfalls should I review when preparing for Developing AI Cloud Solutions on Azure?

Topics to review include AZ-204 habits, Request Units as trivia, pgvector cost blindness, Hand-waving observability, Ignoring dead-letter handling. Work through examples to check that you understand the distinctions and can explain your answer.

Is AI-200 what replaced AZ-204?

Yes. Microsoft retired AZ-204 at the end of July 2026 and our catalog records AI-200 as the successor. The scope shifted rather than transferring: containerized solutions, Azure data management services, service integration and monitoring, now framed around AI workloads. Our guide covers what carried over and what did not. Read the AZ-204 to AI-200 guide

How is the AI-200 exam weighted?

Developing AI solutions with Azure data management services is the largest area at 28%, followed by securing, monitoring and troubleshooting at 25%, consuming Azure services at 24% and containerized solutions at 23%. It is almost an even split across four areas. There is no section small enough to skip.

What background does AI-200 assume?

Microsoft expects Python proficiency, familiarity with the Azure and third-party SDKs used on the platform, and working knowledge of data management, messaging and eventing, vector databases, container deployment and Azure monitoring. No certification is required to book it. The catalog budget is around 45 hours on top of that background.

What happens if you fail AI-200?

A second attempt is possible after 24 hours, with escalating waits after that and a maximum of five attempts in any 12-month period. Since the exam is new, the practical risk is preparing against AZ-204 material that no longer matches it.

One certification, 12 months

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