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AI-200Azure AI Cloud Developer
AI-200 · 30 days left ›
PREDICTED786 ±37✓ Exam Ready · 87% confidence
AI-200 Practice Questions & Exam Prep — Azure AI Cloud Developer
Get exam-ready for AI-200 (Azure AI Cloud Developer) on iPhone or iPad. Azure Mastery uses on-device AI to predict your readiness score across all four AI-200 domains, build a personalised study plan from your weak spots, and surface topics you're forgetting. Core study stays on-device and works offline; optional sync uses your private iCloud account.
The exam
What is the AI-200 exam?
AI-200 is the Microsoft Certified: AI Cloud Developer Associate exam — the credential hiring managers expect when posting "AI Cloud Developer", "AI Platform Engineer", or "Vector Database Developer" roles. AI-200 covers building AI-powered cloud solutions on Azure: compute, vector storage, integration pipelines, security and identity for AI workloads, and operational monitoring.
AI-200 is hands-on and infrastructure-aware. It covers:
Develop AI-powered compute solutions — Azure Functions, Container Apps, AKS for AI workloads
Develop for vector-enabled storage and data — Azure Cosmos DB vector search, Azure SQL vector capabilities, Azure AI Search vector indexes
Implement AI pipelines and integration — Azure Data Factory, Logic Apps, event-driven patterns
Implement security and identity for AI — managed identities, Microsoft Entra, Private Link, content filters
Monitor and optimise AI solutions — Application Insights, cost controls, performance tuning
Expect scenario questions that combine compute, data, and identity choices.
Microsoft updated the AI-200 skills outline on 5 May 2026, consolidating the previous five-domain structure into four. Every question in Azure Mastery's AI-200 bank is mapped to the current outline — no leftover questions on retired services. Read the official outline at learn.microsoft.com.
Questions40–60 questions, mixed formats
Duration100 minutes (120 min seat)
Pass score700 / 1000
CostUSD $165 (≈ £128 UK)
ValidityRenew annually (Associate)
FormatOnline or test centre
Skills measured · 5 May 2026
AI-200 exam objectives
Four domains, with weights set by Microsoft's 5 May 2026 update. Every domain below lists Microsoft's own skill groups verbatim from the official skills outline, so you always know which domain you're being tested on and where your weak spots cluster.
AI & agent skill mapDataModelsAgentsResponsible AI
Develop containerized solutions on AzurePublished weight 20–25%
60 exam-scoped practice questions in the app
Explore Compute topics
Implement container application hosting
Implement container-orchestrated solutions
Hosts the compute layer AI workloads run on: building images, deploying to App Service, and orchestrating with Container Apps or AKS.
A deployment that's merely stood up isn't enough — the exam expects troubleshooting via logs, events, and connectivity too.
Practise reading a live deployment's failure signal as closely as the manifest that created it.
Develop AI solutions by using Azure data management servicesPublished weight 25–30%
67 exam-scoped practice questions in the app
Explore Data topics
Develop AI solutions by using Azure Cosmos DB for NoSQL
Develop AI solutions by using Azure Database for PostgreSQL
Integrate Azure Managed Redis in AI solutions
The largest domain: Cosmos DB indexing and vectors, PostgreSQL pgvector tuning, and Managed Redis vector search.
Candidates treat Cosmos DB, PostgreSQL, and Redis as interchangeable vector databases, missing each one's own tuning knobs.
Match the named service in the scenario to its specific configuration surface, not a generic vector-store answer.
Connect to and consume Azure servicesPublished weight 20–25%
60 exam-scoped practice questions in the app
Explore Integration topics
Develop event- and message-based AI solutions
Develop and implement Azure Functions
Covers choosing Service Bus or Event Grid for a reliability or fan-out need, plus building serverless Azure Functions.
Each messaging service gets defined correctly on its own, yet picking the one a described reliability need actually calls for trips people up.
Practise choosing between queued and event-driven patterns for a described AI workload — knowing the definitions alone isn't enough.
Secure, monitor, and troubleshoot Azure solutionsPublished weight 20–25%
53 exam-scoped practice questions in the app
Explore Operations topics
Implement secure Azure solutions
Monitor and troubleshoot Azure solutions
Splits between security and observability: Key Vault vs App Configuration, and OpenTelemetry tracing vs KQL log queries.
Candidates underestimate this domain since it feels less AI-specific, but it carries equal published weight.
Given a symptom, practise naming the exact telemetry source or query that surfaces its cause.
Common traps
Where AI-200 candidates slip
Five recurring misconceptions that trip up otherwise well-prepared AI-200 candidates, grounded in the current skills outline.
Studying the old five-domain outline
Candidates study an outdated five-domain outline and underweight how much Container Apps and data services now carry.
Container Apps and data services carry more combined weight under the current four-domain structure than under the retired one.
Check your study source's date before trusting its domain breakdown — Foundry and AI Search are supporting context now, not headings.
Treating every vector store the same way
Candidates apply generic "vector database" knowledge instead of a named service's own configuration surface.
Cosmos DB, PostgreSQL, and Managed Redis each tune vector search through a different set of settings entirely.
Match the scenario's named service to its own indexing or connection settings before answering.
Service Bus vs Event Grid — reliability vs reaction
Candidates can't tell a guaranteed-delivery requirement from a many-subscribers reaction requirement.
Service Bus supports reliable brokered messaging; ordered FIFO processing requires sessions. Event Grid routes discrete events to one or more subscribers.
Pick Service Bus for a specific back-end queue, Event Grid for many subscribers reacting to a change.
Key Vault secrets vs App Configuration settings
Candidates reach for Key Vault to store ordinary configuration that App Configuration was built to hold.
Key Vault protects secrets, keys, and certificates; App Configuration is the intended home for non-secret, centralised settings.
Ask whether the described value is confidential before choosing Key Vault over App Configuration.
OpenTelemetry traces vs KQL log queries
Candidates pick a trace-based answer for an aggregate question, or the reverse.
Tracing follows a single request end to end; a KQL query answers aggregate questions across many requests at once.
Match "where did this one request fail" to tracing, and "what's the error rate" to a KQL query.
Designed for AI-200
How Azure Mastery helps you pass AI-200
Exam-specific practice
240 AI-200 practice questions aligned to the published skills outline.
Coverage leans hardest on AI data management services, the domain Microsoft weights up to 30%.
Practise choosing between Cosmos DB, PostgreSQL, and Managed Redis for a stated vector-search need.
Predicted score
Exam IQ forecasts your AI-200 score on-device after roughly 30 questions, confidence range attached.
It flags whether data-service tuning or operations and troubleshooting is dragging that number down.
See which of the four domains needs the most work before you book the exam.
Adaptive study plan
Your plan leans hardest on AI data management services, the domain Microsoft weights up to 30%.
Miss a vector-store or messaging-choice question and the next session surfaces that domain first.
Answer a topic correctly three sessions in a row and the plan hands priority to whatever's weakest next.
Knowledge decay
Forget the Service-Bus-vs-Event-Grid distinction early on and later integration questions get harder too.
A decay warning shows up on the Today screen well before a topic actually fades from memory.
Open Focus Weak Spots and any topic that's been slipping gets pulled straight back into practice.
Exam rehearsal
Practise holding focus through a full 100-minute session, matching AI-200's real length.
Every rehearsal session mixes the four domains at their published weights, built entirely from original questions.
The real exam's screen layout and question order are set by Microsoft, not this app.
Answer Coach
Untangles AI-200's near-identical pairs: Service Bus vs Event Grid, and OpenTelemetry traces vs KQL log queries.
Answer Coach points straight at the scenario detail you missed whenever you pick the wrong option.
Supported devices can rephrase a note on-device, but only after checking it matches the written explanation.
Aura guidance
Aura adjusts its suggestions as your first week of AI-200 practice takes shape.
You get a short wrap-up after each session covering progress made, gaps to revisit, and what comes next.
Private by design
Your AI-200 answer history, readiness gauge, and Answer Coach notes stay on your device by default.
No Azure Mastery account and no server ever processes your AI-200 study data.
Enabling sync keeps everything inside your own private iCloud account and nowhere beyond it.
6-week study plan
Suggested AI-200 study plan
Move from AI compute and vector storage to integration, security and operations. Adjust this six-week route to your Azure development experience.
AI compute
Compare Functions, Container Apps and AKS GPU pools.
Manage container images in ACR.
Review autoscaling and cold-start mitigation.
Vectors and storage
Compare Cosmos DB, Azure SQL and Azure AI Search vector options.
Distinguish vector search from hybrid search.
Practise embedding generation and chunking.
Pipelines and integration
Compare Data Factory, Synapse pipelines, Logic Apps and Power Automate.
Use event-triggered Azure Functions.
Design retry and idempotency patterns.
Security and identity
Use managed identities, app registrations and Foundry RBAC.
Review Private Link, customer-managed keys and Key Vault.
Configure content filters.
Monitoring and optimisation
Trace AI calls with Application Insights and custom telemetry.
Monitor tokens, latency and cost.
Compare caching, batching and capacity-planning choices.
Review and rehearse
Use Focus Weak Spots to revisit weaker topics.
Complete two timed, 100-minute Exam Simulator sessions.
Review mistakes and repeat difficult scenarios.
Inside the app
Nine interactive practice formats, on iPhone
Azure Mastery has nine interactive formats for exam practice. The examples below show original AI-200 practice questions in Azure Mastery on iPhone and iPad. The exam simulator uses timed sessions with the published domain weights. Microsoft's live interface and question mix may differ.
Which KQL operator is used to filter rows in a Log Analytics query based on a condition?
Summarize
Project
Where
Extend
Multiple choice
An original AI-200 practice question with one correct answer. The app explains every option after you answer.
Exam-specific sample
Which THREE similarity metrics are supported by Cosmos DB for NoSQL vector search? Choose THREE.
Cosine
Dot product
Euclidean
Jaccard
Manhattan
Multi-select
An original AI-200 multi-select question. Select all the correct options to earn the mark.
All-or-nothing
Order the following steps to deploy a new revision of an Azure Container App with traffic splitting. Start from the first step.
⋮⋮1Build and push the updated container image to Azure Container Registry
⋮⋮2Create a new revision by updating the container app with the new image…
⋮⋮3Configure traffic splitting to route a percentage of traffic to the…
⋮⋮4Monitor the new revision for errors and performance before shifting…
Drag-and-drop
An original AI-200 ordering question you can answer by touch on iPhone and iPad.
Interactive item
Select the statements that are true about Azure compute services.
Hotspot
An original AI-200 question with a visual prompt, designed for touch on iPhone and iPad.
Tap target
MedAI LLM Deployment on AKS MedAI Corp is a healthcare AI company that develops custom large language models (LLMs) for medical document analysis. They need to deploy multiple models of varying…
1How should MedAI deploy the new 13B parameter model with minimal effort?
2How should MedAI isolate training from inference workloads on the same AKS…
Case studies
An original AI-200 case study with several questions about the same requirements and environment.
Multi-question
✕Your answer: Summarize
✨ Answer Coach:The summarize operator groups rows and applies aggregation functions such as count(), avg(), or percentile(). It reduces the dataset to one row per group but does not filter rows by a condition.
— grounded in authored certification guidance
Answer Coach
Answer Coach explains why the answer is correct and, where available, why each option is right or wrong. It helps you understand a mistake and remember the distinction. Read explanations after each question or at the end of a practice test. On supported devices, optional AI can reword a note on your device after checking it against the written guidance.
App exclusive
Frequently asked
AI-200 FAQs
How much does the AI-200 exam cost?
The AI-200 voucher is USD $165 in the United States, around £128 in the UK; regional pricing varies. Watch for free-voucher promotions around Microsoft Build or Microsoft Ignite. Renewal is free, but it's an annual Associate certification, so factor that into long-term cost planning.
Does the AI-200 certification expire?
Yes. The AI-200 Associate credential has one-year validity. During its final six months, you can extend it free by completing the current online renewal assessment in Microsoft Learn; Microsoft doesn't publish a fixed item count. Fundamentals credentials such as AZ-900 do not have this requirement.
What is the AI-200 retake policy if I fail?
Waiting times step up after each fail, and every attempt needs a fresh voucher.
First retake: after 24 hours.
Second and third retakes: a 14-day wait each.
Cap: five attempts per rolling 12 months.
How long should I study for AI-200?
Allow four to eight weeks of focused study if you already develop on Azure. Spend longer if Python, Azure SDKs, containerized applications, Cosmos DB or PostgreSQL vector search, messaging, or KQL-based troubleshooting are new to you. Azure Mastery's readiness gauge helps you decide when to schedule the exam.
What prior experience does AI-200 assume?
AI-200 assumes you already work across the AI-solution lifecycle on Azure — implementation, deployment, security, monitoring — with practical Python, SDK, and container experience. It expects you to already know your way around Azure data services, not learn them from the guide alone. Budget extra time if containers or vector databases are new.
AI-200 vs AI-103 — different roles?
Different emphases. AI-200 validates back-end Azure development for AI solutions, including containers, data services, messaging, security, monitoring, and troubleshooting. AI-103 focuses on developing AI apps and agents with Python and Microsoft Foundry. AI-200 is cloud-platform and service integration; AI-103 is model, agent, retrieval, and AI-application implementation.
AI-200 vs AI-300 — which next?
AI-200 first. It's the AI Cloud Developer cert, building the platform AI workloads run on. AI-300 is the ML Operations Engineer cert, running ML and generative-AI systems in production. AI-200 sits upstream of AI-300 in most roles.
Is Azure Mastery free for AI-200 prep?
The app is free to download and includes a free allowance of AI-200 questions so you can try every feature. The full bank of 240 AI-200 practice questions unlocks with a one-time exam-pack purchase, or you can unlock every exam in the catalogue with a subscription or a one-time lifetime upgrade.
Does AI-200 practice work offline?
Yes. Everything AI-200 practice needs, from scoring to the readiness prediction, lives on the phone, so a flight or a dead spot changes nothing. There is no account to make, and your history only leaves the device if you turn on private iCloud sync.
Is there an AI-200 practice test mode?
Yes. Exam Simulator runs a timed, blueprint-weighted AI-200 session built from the app's own questions, with the clock running and no jumping back to review. It is original practice content, so treat it as rehearsal for the pressure rather than a copy of Microsoft's paper.
Free study guides
Free guides that pair with AI-200
Where AI-200 fits
Certification paths that include AI-200
AI-200 is the Microsoft Azure AI Cloud Developer Associate cert — the back-end Azure development counterpart to AI-103. It follows AI-901 as the current fundamentals route and pairs naturally with AI-300 for engineers who also operate models and generative AI systems.
AI-200 sits at the Azure AI Cloud Developer Associate tier. AI-901 is the current fundamentals foundation; AI-300 is the natural companion for engineers who want to operate the AI systems they build.
Ready to pass AI-200?
Download Azure Mastery free. 240 AI-200 practice questions across all four domains, AI score prediction, full-length exam simulator, adaptive study plan. iPhone & iPad.
