Microsoft · Associate

How to pass Microsoft Certified: Azure AI Apps and Agents Developer Associate (AI-103)

An independent, practice-first guide: the exam objectives, a study approach that targets your weak areas, and a free diagnostic that tells you when you're ready. Independent prep, not affiliated with Microsoft.

A five-step plan to pass AI-103

1

Find your gaps

Take the free diagnostic. It scores you by domain so you know exactly what to study, before you spend evenings or a cent on the exam.

2

Practice what matters

Work the objectives where practice will move your score most, not the ones you already know. Original questions with explanations that teach.

3

Take mock exams

Test under realistic time and question constraints. Mocks surface pacing problems and weak domains a study guide can't.

4

Do a final review

Tighten your single weakest domain and re-check the never-miss objectives.

5

Schedule when the evidence says so

Use your readiness score and domain results to decide. Walk in prepared, not hopeful.

AI-103 exam objectives

The published blueprint, with domain weights. Practice weighted the way the exam is weighted.

Plan and manage an Azure AI solution

28%
  • Choose the appropriate Foundry services and models for generative AI and agents
  • Set up AI solutions in Foundry (infrastructure, deployment, CI/CD)
  • Manage, monitor, and secure AI systems
  • Implement responsible AI across generative AI and agentic systems

Implement generative AI and agentic solutions

33%
  • Build generative applications by using Foundry (LLMs, RAG, tool flows, evaluation, SDKs)
  • Build agents by using Foundry (roles, tools, function-calling, memory, multi-agent, approvals)
  • Optimize and operationalize generative AI systems (prompt tuning, observability, orchestration)

Implement computer vision solutions

13%
  • Design and implement image- and video-generation solutions
  • Design and implement multimodal understanding workflows
  • Implement responsible AI for multimodal content

Implement text analysis solutions

13%
  • Apply language model text analysis (extraction, sentiment, translation, customization)
  • Implement speech solutions (STT/TTS, speech as an agent modality, translation)

Implement information extraction solutions

13%
  • Build retrieval and grounding pipelines (indexing, hybrid/vector search, RAG, OCR)
  • Extract content from documents (OCR, layout, field extraction, Content Understanding)

Common questions

What does the AI-103 exam cover?

Microsoft Certified: Azure AI Apps and Agents Developer Associate covers 5 domains: Plan and manage an Azure AI solution, Implement generative AI and agentic solutions, Implement computer vision solutions, Implement text analysis solutions, Implement information extraction solutions. Each is weighted, so your practice should be weighted the same way.

How do I know when I'm ready for AI-103?

Use an evidence-based readiness score (knowledge, blueprint coverage, consistency, and recency), not a completion percentage. When it says you're prepared, you are.

Are these practice questions exam dumps?

No. Every question is original and mapped to the published objectives. We never use dumps or leaked material.

Ready to find your AI-103 gaps?

The free diagnostic scores you by domain in about five minutes.

Take the free diagnostic

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