AI-103 practice test
Microsoft Azure AI Apps and Agents Developer Associate
100 practice questions, spread across the exam's topics the same way Microsoft weights them, each with a full explanation and a link to the official documentation that proves the answer. Written by a Microsoft Certified Trainer who does this work for a living.
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What is inside
Every area the exam tests
Our questions are spread the same way Microsoft weights the exam, so your practice matches the real thing.
Planning and managing
25 to 30%Choosing models and services, deployment options, CI and CD for Foundry projects, quotas and cost, monitoring and drift, identity and networking, safety filters, responsible AI instrumentation, auditing and agent governance.
28 questionsGenerative AI and agents
30 to 35%Deploying and consuming models, retrieval-augmented generation, tool-augmented workflows, evaluation for fabrication and relevance, agent roles and tools and memory, multi-agent orchestration, approval controls, prompt and parameter tuning, and observability.
33 questionsComputer vision
10 to 15%Generating and editing images and video, multimodal visual analysis, captioning and grounded visual question answering, alt text, Content Understanding pipelines, object identification and unsafe-content filtering.
13 questionsText analysis
10 to 15%Entities, topics, summaries and structured output from generative prompting, sentiment and sensitive content detection, translation, domain customisation, speech in both directions, and multimodal reasoning from audio.
13 questionsInformation extraction
10 to 15%Ingesting and indexing content, semantic and hybrid and vector search, enrichment skills, RAG ingestion with OCR, connecting retrieval to agent tools, and Content Understanding analyzers.
13 questionsMicrosoft last updated this exam on 16 April 2026. Our questions match that version.
How you will use it
Practise the way that suits you
- Learn as you go. Answer, read why straight away, then move on. No clock, no pressure.
- Or sit it timed. A clock, no answers until the end, and two minutes a question, so you learn to pace yourself.
- Score by topic. See which area let you down instead of one number out of a hundred.
- Go back over it. Read every question again afterwards, right and wrong, with the full explanation.
Is it for you
Who takes AI-103
Developers building AI features into applications
A third of it is generative and agentic work, and it expects you to have built some.
People moving from prototypes to something supportable
Quotas, monitoring, safety filters, evaluation and identity are a quarter of the exam.
Engineers who own an AI solution in production
Grounding quality, drift, tracing and approval workflows are treated as the job rather than an afterthought.
Also worth doing
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See the questions before you pay
10 AI-103 questions with full explanations, so you can judge the quality yourself.
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