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 (Developing AI Apps and Agents on Azure) on iPhone or iPad. Azure Mastery uses on-device AI to predict your readiness across all five current AI-103 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
AI-103 is the exam for the Microsoft Certified: Azure AI Apps and Agents Developer Associate credential. It is aimed at Azure AI engineers who build, manage, and deploy agents and AI solutions with Microsoft Foundry. The exam expects practical Python experience and familiarity with general AI, generative AI, and Azure services.
AI-103 is hands-on and SDK-aware. It validates that you can plan and manage Azure AI solutions; implement generative AI and agentic solutions; build computer vision solutions; implement text analysis and speech workflows; and create information-extraction and retrieval pipelines. Expect scenarios involving Python, Foundry projects, models, agents, Azure AI Search, Content Understanding, security, evaluation, and observability.
The current AI-103 skills are measured as of 16 April 2026. Every question in Azure Mastery's AI-103 bank is mapped to that outline. Read the official Microsoft study guide.
Skills measured · 16 April 2026
Five domains from Microsoft's current outline. Every summary below is paraphrased from the official study guide; Azure Mastery tags each question to its assessed domain so you can see where your weak spots cluster.
Choose appropriate Foundry services, models, retrieval methods, and agent integrations. Set up projects and deployments, connect CI/CD, manage quotas and cost, monitor quality and safety, configure managed identity and private networking, and apply responsible-AI controls.
Build generative apps and agents with Foundry, RAG, SDKs and connectors. Define tools, memory and conversation handling, orchestrate multiple agents, add safeguards and approval flows, evaluate quality and safety, and operationalise workloads with tracing, token analytics, and latency signals.
Generate and edit images and video, build multimodal understanding workflows, produce captions and accessible descriptions, analyse visual and video evidence with Content Understanding, and implement safety controls for multimodal content.
Extract entities, topics, summaries, and structured output; detect sentiment, tone, safety issues, and sensitive content; translate text; and implement speech-to-text, text-to-speech, custom speech, audio reasoning, and speech translation workflows.
Ingest and index documents, images, audio, and video for grounding; configure semantic, hybrid, and vector search; enrich content with built-in or custom skills; build OCR-based RAG ingestion; and use Content Understanding to extract structured or Markdown outputs.
Designed for AI-103
Azure Mastery ships with 557 AI-103 practice questions mapped to the current April 2026 skills outline. Each question carries one of the five official domain tags: plan/manage; generative and agentic solutions; computer vision; text analysis; or information extraction. Python, Microsoft Foundry, RAG, agent, multimodal, and Content Understanding scenarios appear throughout.
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. "786 ±37, 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 557-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.
Answer Coach turns each missed answer into a private, grounded lesson: the misconception, key distinction, and rule to remember. It always uses authored certification guidance; on supported devices, an optional on-device model may rewrite the note only when it passes grounding checks.
During your first week, Aura adapts the next step as you go. Every session ends with a concise recap of what changed, what to focus on, and the best follow-up.
Everything essential runs on-device. Your answer history, readiness gauge, and coaching stay private. Optional sync uses your private iCloud account; there is no Azure Mastery account, tracking, or external processing server.
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.
A real AI-103 question-bank example with one correct answer. The app explains every option after you answer.
Exam-specific sampleA real AI-103 multi-select item. Every required selection must be correct to earn the mark.
All-or-nothingA real AI-103 interactive-format prompt, rendered for touch on iPhone and iPad.
Interactive itemA real AI-103 prompt that tests recognition inside a visual or contextual interface.
Tap targetA real AI-103 case-study scenario with linked questions that share the same requirements and environment.
Multi-questionAnswer Coach uses the bank's authored rationale to explain the misconception, key distinction, and rule to remember. On supported devices, an optional on-device model may rewrite the note only when it passes grounding checks.
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.
Allow several weeks of focused study and hands-on practice. AI-103 expects experience developing apps with Python plus familiarity with Microsoft Foundry, general AI, generative AI, and Azure services. Azure Mastery's readiness gauge helps you decide when you're ready to schedule the exam.
AI-102 retired on 30 June 2026. AI-103 is the current exam for the Azure AI Apps and Agents Developer Associate credential. Its five domains cover planning and managing Azure AI solutions, generative and agentic solutions, computer vision, text analysis, and information extraction.
AI-901 first if AI concepts are new to you. AI-901 is the current Azure AI Fundamentals exam and covers core AI concepts plus foundational Microsoft Foundry and Python skills. AI-103 is the role-based Associate exam and expects hands-on Python development with Microsoft Foundry, agents, retrieval, evaluation, and Azure AI services. Many candidates use AI-901 as their foundation before moving to AI-103.
Where AI-103 fits
AI-103 is the Azure AI Apps and Agents Developer Associate exam. It follows AI-901 as the current fundamentals route and replaces the retired AI-102 route. Tap any linked exam below to see its dedicated study app page.
Download Azure Mastery free. 557 AI-103 practice questions across all five domains, AI score prediction, full-length exam simulator, adaptive study plan. iPhone & iPad.
Download Azure Mastery — free iPhone & iPad · Free to start · No account required