Azure Mastery
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Azure Mastery
Microsoft Certification AI-200
On-device AI scores your readiness, builds an adaptive study plan, and flags topics fading from memory — before they cost you the exam.
Get exam-ready for AI-200 (Microsoft AI Cloud Developer) on iPhone or iPad. Azure Mastery uses on-device AI to predict your readiness score across all five AI-200 domains, build a personalised study plan from your weak spots, and surface topics you're forgetting — all without sending a single byte off your device.
The 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 validates that you can 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), and 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 in March 2026. 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.
Skills measured · April 2026
Five domains, with weights set by Microsoft's March 2026 update. Every domain summary below is paraphrased from the official skills outline; bullet-level objectives in Azure Mastery are tagged so you always know which domain you're being tested on and where your weak spots cluster.
Tied for the largest domain. Choose and configure compute hosts for AI workloads: Azure Functions (Premium / Flex Consumption for AI calls), Azure Container Apps (jobs, scale-to-zero), Azure Kubernetes Service (GPU node pools, KAITO, Ray clusters), and serverless GPUs. Plus Azure Container Registry, container image best practices for AI, autoscaling strategies, and cold-start mitigation. Around 8–15 questions per sitting.
The vector-database surface. Azure Cosmos DB for NoSQL, MongoDB vCore, and PostgreSQL — native vector indexes, similarity search (cosine, dot product, Euclidean), hybrid filtering. Azure SQL vector capabilities. Azure AI Search vector indexes vs hybrid search vs semantic ranking. Embedding generation strategies and chunking. Around 6–12 questions.
Tied for the largest domain. Azure Data Factory and Synapse pipelines for batch AI workflows, Logic Apps and Power Automate for event-driven AI integration, Azure Functions with Event Grid / Service Bus / Storage Queue triggers. Plus retry and idempotency patterns, async vs sync invocation of AI services, structured-output parsing. Around 8–15 questions.
Managed identities for AI service access, Microsoft Entra app registrations and consent, Private Link / Private Endpoints for AI services, customer-managed keys, content filters and abuse monitoring on Azure OpenAI, secrets management via Azure Key Vault, role-based access for Foundry projects. Around 6–12 questions.
Smallest domain. Application Insights instrumentation for AI calls, custom telemetry for token usage and latency, distributed tracing across AI pipelines, cost dashboards, performance tuning (caching, batching, model selection), and capacity planning for token throughput. Around 4–9 questions.
Designed for AI-200
Azure Mastery ships with 310 AI-200 practice questions, every one written specifically against the current (March 2026) skills outline — not generic AI trivia. Each question carries a domain tag mapped to the official five domains (compute, vector storage, pipelines, security, monitor/optimize), so you always know which area you're being tested on and where your weak spots are clustered. Vector-index configs, Bicep deployment templates for AI services, and event-driven pipeline scenarios appear throughout — matching the format of the live exam.
The on-device Exam IQ engine predicts your AI-200 score before you sit the exam. After roughly 30 questions it has enough signal to give a confidence-scored prediction (e.g. "708 ±60, 68% confidence") — and tells you the specific topics that are dragging your readiness down. No vague "study more" advice; just a ranked list of objectives where improvement would move your score the furthest.
The adaptive study plan rebuilds itself from your answer history. Get a scenario question wrong? The engine surfaces another question in the same domain in your next session. Master a topic across three sessions and it backs off, prioritising the next-highest-leverage gap. The plan optimises for the gap between where you are and the 700 pass score, not for blind volume.
Knowledge decay tracking matters more for AI-200 than for foundational exams — five domains is a lot to retain, and the topic you mastered three weeks into your study window is the topic you'll forget by exam day if you stop revising. Azure Mastery tracks every topic's decay curve and flags topics approaching expiry. The padlock icon on the Today screen is your "revisit before you forget" cue, and weak-spot drills automatically pull from decayed topics first.
Real exam simulation mode runs at AI-200's actual length and time pressure: a randomised 40–60-question set drawn from the full 310-question bank, weighted by domain percentages from the April 2026 outline, with the 100-minute timer running and no jumping back to flag-and-review. It's the closest you can get to the live Pearson VUE / online-proctored experience without sitting the exam.
Everything runs on-device. Your answer history, your readiness gauge, your decay alerts — none of it leaves your iPhone or iPad. No account required to start, no tracking, no sync server. Privacy-first by design.
6-week study plan
Most candidates pass AI-200 after four to eight weeks of focused study, depending on prior Azure experience. The six-week plan below maps onto the five AI-200 domains, Azure Mastery's adaptive sessions, and the in-app exam simulator. Adjust pace to taste — the readiness gauge tells you when you're done, not the calendar.
Inside the app
AI-200's question bank uses the same formats Microsoft puts on the live exam — not just multiple choice. Each visualisation below is a faithful mock of how the type renders inside Azure Mastery on iPhone and iPad. Exam-simulator mode runs all of them at full 100-minute length with no flag-and-review jumps, mirroring Pearson VUE.
One correct answer from four to six options. The most common type on every Azure exam — practical recall of services, settings, and limits.
~50% of questionsPick two or more correct answers from a list. Microsoft tells you exactly how many to choose. Partial credit not awarded — you need every selection right.
All-or-nothingArrange items into the correct sequence — deployment steps, the order operations occur in a pipeline, troubleshooting flows. Long-press to drag on touch.
Order mattersTap the correct area of an image — the right setting in a portal screenshot, the right resource in a topology diagram. Practical visual recall under time pressure.
Tap targetA multi-paragraph scenario followed by 4–6 linked questions. Common on AI-200 in the storage and identity domains; dominant on AZ-305 and AZ-400.
Multi-questionAn Azure Mastery exclusive. When you answer incorrectly, an on-device Apple Foundation Model writes a targeted explanation grounded in the correct rationale. Never leaves your device.
App exclusiveFrequently asked
The AI-200 voucher is USD $165 in the United States. Pricing varies by region — in the UK it's typically around £128. Microsoft sometimes runs free-voucher promotions during events such as Microsoft Build or Microsoft Ignite, so check your Microsoft Learn profile for any active offers before booking. AI-200 also requires annual renewal (free, online), so factor that into long-term cost planning.
Yes. Microsoft Associate certifications including AI-200 expire annually. Renewal is free — a 25–30 question online assessment on Microsoft Learn within the six-month window before your expiration date. The renewal targets recent skills outline updates, so staying current is straightforward if you remain broadly active in the role. (Fundamentals certifications such as AZ-900 are different — those don't expire.)
The first retake is allowed after 24 hours. Second and third retakes each require a 14-day wait. Microsoft caps retakes at five attempts per 12-month rolling period. Each attempt requires a new voucher purchase.
Most candidates pass AI-200 after four to eight weeks of focused study, assuming some prior IT or cloud experience. If Azure is genuinely new to you, plan for two to three months — the exam expects you to know specific PowerShell and Azure CLI commands, not just describe concepts. Azure Mastery's readiness gauge tells you when you're at exam-ready; don't book until it shows roughly 720 or higher with reasonable confidence.
Different angles. AI-102 is the AI Engineer Associate cert — broader Azure AI service consumption (Vision, Language, Speech, OpenAI). AI-200 is the AI Cloud Developer Associate cert — narrower focus on the cloud infrastructure surrounding AI workloads: compute hosts, vector databases, integration pipelines, identity and security. AI-102 is application-side; AI-200 is platform-side. Many candidates hold both for end-to-end AI engineering roles.
AI-200 first. AI-200 is the AI Cloud Developer Associate cert — building the platform that AI workloads run on. AI-300 is the ML Operations Engineer Associate cert — running and operating ML and generative-AI systems in production (MLOps and GenAIOps). AI-200 is upstream of AI-300 in most roles. Take AI-200 to build the platform, AI-300 to operate models and pipelines on top of it.
Where AI-200 fits
AI-200 is the Microsoft AI Cloud Developer Associate cert — the platform-side counterpart to AI-102 / AI-103. It pairs with AI-900 as recommended fundamentals and is upstream of AI-300 (MLOps Engineer). Tap any linked exam below to see its dedicated study app page.
Download Azure Mastery free. 310 AI-200 practice questions across all five domains, AI score prediction, full-length exam simulator, adaptive study plan. iPhone & iPad.
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