Azure Mastery
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Azure Mastery
Microsoft Certification AI-103
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-103 (Microsoft AI App and Agent Developer) on iPhone or iPad. Azure Mastery uses on-device AI to predict your readiness score across all five AI-103 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-103 is the Microsoft Certified: AI App and Agent Developer Associate exam — the credential hiring managers expect when posting "AI Application Developer", "Agent Developer", "Generative AI Engineer", or "Copilot Developer" roles. AI-103 covers the application-developer's day-to-day in Azure AI Foundry: building generative AI apps, agentic workflows, and knowledge-grounded experiences. It complements AI-102 (AI Engineer) with a stronger focus on agents and AI-app design patterns.
AI-103 is hands-on and SDK-aware. It validates that you can plan and design AI app solutions (architecture patterns, integration points, cost and performance constraints), implement generative AI solutions using Azure OpenAI and Azure AI Foundry, develop agentic AI solutions (tool calling, multi-agent orchestration, memory and state, evaluation), implement knowledge and data integration via RAG (Azure AI Search, embeddings, indexing strategies), and secure / monitor / optimise AI solutions in production (content filters, abuse monitoring, cost controls, observability). Expect scenario questions with Python or .NET SDK snippets and Foundry project configurations.
Microsoft updated the AI-103 skills outline on 1 June 2026. Every question in Azure Mastery's AI-103 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 June 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.
Architecture and design patterns for AI applications. Choose between custom apps, Copilot extensions, and pre-built Foundry templates. Design for scalability, latency, cost, and Responsible AI constraints. Identify data requirements, integration points, model selection trade-offs, and deployment patterns. Around 6–12 questions per sitting.
Build apps on Azure OpenAI and Azure AI Foundry. Provision resources, deploy models (chat, completion, embeddings, vision, audio), prompt engineering (system prompts, few-shot, chain-of-thought, structured outputs), streaming responses, content filters, abuse monitoring, fine-tuning, and evaluating outputs (groundedness, relevance, fluency). Around 8–15 questions.
Largest domain. Azure AI Foundry agents end-to-end — agent definitions, tool calling and function specifications, knowledge integration, memory and state management, multi-agent orchestration patterns, safety guardrails, evaluation, and tracing. Around 10–18 questions.
Retrieval-augmented generation (RAG) end-to-end. Azure AI Search — indexers, indexes, skillsets, semantic search, vector search, hybrid search, query rewriting. Embedding strategies, chunking, metadata filtering, source citation in agent responses. Document Intelligence integration for unstructured content. Around 6–12 questions.
Production concerns. Authentication and authorization (managed identities, Microsoft Entra), network security (Private Link, VNet integration), content safety and moderation, cost management (token budgets, cache strategies), observability (Application Insights, traces, telemetry), evaluation pipelines, and regression detection. Around 6–12 questions.
Designed for AI-103
Azure Mastery ships with 320 AI-103 practice questions, every one written specifically against the current (June 2026) skills outline — not generic AI trivia. Each question carries a domain tag mapped to the official five domains (plan/design, generative AI, agentic, knowledge integration, secure/monitor/optimize), so you always know which area you're being tested on and where your weak spots are clustered. Foundry agent definitions, Python and .NET SDK snippets, and prompt-engineering scenarios appear throughout — matching the format of the live exam.
The on-device Exam IQ engine predicts your AI-103 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-103 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-103's actual length and time pressure: a randomised 40–60-question set drawn from the full 320-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-103 after four to eight weeks of focused study, depending on prior Azure experience. The six-week plan below maps onto the five AI-103 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-103'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-103 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-103 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-103 also requires annual renewal (free, online), so factor that into long-term cost planning.
Yes. Microsoft Associate certifications including AI-103 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-103 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 application angles. AI-102 is the AI Engineer Associate cert — broader Azure AI service consumption (Vision, Language, Speech, OpenAI) for general-purpose AI applications. AI-103 is the AI App and Agent Developer Associate cert — narrower focus on generative AI apps and agentic workflows in Azure AI Foundry. AI-103 goes deeper on agents, RAG, and Foundry-specific patterns; AI-102 covers more services breadth. Many candidates hold both.
AI-900 first if AI concepts are new to you. AI-900 (Microsoft Azure AI Fundamentals) teaches the AI vocabulary and the responsible-AI principles without expecting code. AI-103 is the role-based Associate exam: it expects hands-on Python or .NET SDK work against Azure OpenAI and Azure AI Foundry. Most candidates pass AI-900 in a few weeks then spend two to three months on AI-103.
Where AI-103 fits
AI-103 is the Microsoft AI App and Agent Developer Associate cert. It pairs with AI-900 as recommended fundamentals and complements AI-102 with deeper agentic and Foundry coverage. Tap any linked exam below to see its dedicated study app page.
Download Azure Mastery free. 320 AI-103 practice questions across all five domains, AI score prediction, full-length exam simulator, adaptive study plan. iPhone & iPad.
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