AI-103 Practice Test & Mock Exam

Last revised: June 29, 2026

Practice Microsoft Azure AI Apps and Agents Developer Associate (AI-103) in IT Mastery with focused sample pages, topic drills, timed mock exams, detailed explanations, and the current question bank.

Use IT Mastery for interactive practice with timed mocks, topic drills, progress tracking, and detailed explanations across web and mobile. Focused topic pages and the static diagnostic page preview how this exam handles Microsoft Foundry, Azure AI services, generative AI, agents, retrieval, multimodal workflows, and Python-backed implementation patterns.

Practice preview and focused pages

Use this page to start the web app and choose the right public preview before longer mixed practice. For sample exam questions, use the focused topic pages, quick review, and free-practice page in this exam section; the interactive app remains the primary practice path.

  • Focused topic pages: drill focused topics including Implement Computer Vision Solutions; Implement Generative AI and Agentic Solutions; and other domains with explanations.
  • Quick review: Concise AI-103 review for Microsoft Azure AI apps and agents: Azure AI Foundry, agents, RAG, search, safety, deployment, and practice focus.
  • Free practice exam: Try 50 free Microsoft Azure AI Apps and Agents Developer Associate (AI-103) questions across the exam domains, with explanations, then continue with IT Mastery practice.

What this AI-103 practice page gives you

  • a direct web entry for AI-103 practice in IT Mastery
  • focused topic pages and free-practice coverage for previewing question style
  • topic drills and mixed sets across Azure AI solutions, generative AI, agents, computer vision, text analysis, and information extraction
  • a clear web preview path for previewing question style before deeper practice
  • the same IT Mastery account across web and mobile

Who AI-103 is for

  • Azure AI engineers and developers building production AI apps or agentic workflows
  • candidates moving beyond AI-900 or AI-102-style service selection into implementation and operations
  • teams that need Microsoft Foundry, RAG, multimodal, responsible AI, and monitoring coverage in one route

AI-103 exam snapshot

  • Issuer: Microsoft
  • Certification lane: Microsoft Certified: Azure AI Apps and Agents Developer Associate
  • Exam code: AI-103
  • Official exam name: Developing AI Apps and Agents on Azure
  • Microsoft Learn study-guide date checked: skills measured as of April 16, 2026
  • Passing score shown by Microsoft Learn study-guide resources: 700 or greater
  • Current IT Mastery status: live practice available

Topic coverage for AI-103

DomainWeight
Plan and manage an Azure AI solution25-30%
Implement generative AI and agentic solutions30-35%
Implement computer vision solutions10-15%
Implement text analysis solutions10-15%
Implement information extraction solutions10-15%

AI-103 implementation decision filters

Use these filters when a solution can be built in several Azure AI ways:

  • Foundry boundary: identify whether the task belongs in project setup, model deployment, prompt flow, evaluation, agent configuration, monitoring, or application integration.
  • Grounding strategy: choose retrieval, Azure AI Search, indexes, data connections, citations, and evaluation when private or current content matters.
  • Agent workflow: separate conversation, tool calling, function/API invocation, memory/context, permissions, and human-review requirements.
  • Modality: distinguish generative AI, vision, speech, text analysis, translation, and information-extraction workloads from each other.
  • Responsible AI and operations: apply content safety, evaluation, telemetry, managed identity, access control, and deployment governance where output risk exists.

AI-103 readiness map

AreaWhat strong readiness looks like
Plan and manage AI solutionsYou can configure projects, deployments, identity, monitoring, evaluation, and governance for Azure AI workloads.
Generative AI and agentsYou can build grounded, tool-using, evaluated, and responsibly controlled generative AI workflows.
Computer visionYou can choose image-analysis, OCR, object-detection, and multimodal capabilities that match the scenario.
Text analysisYou can apply language, sentiment, key-phrase, entity, translation, and custom-text features appropriately.
Information extractionYou can select document, form, structured extraction, and workflow patterns without overbuilding.

How to use the AI-103 simulator efficiently

  1. Start with planning and management drills so identity, deployment, safety, and observability constraints are clear before implementation detail.
  2. Review every miss until you can explain why the best answer fits the Azure AI service, Foundry workflow, model interaction, and governance requirement.
  3. Move into mixed sets once you can switch between generative AI, agents, computer vision, text analysis, and information extraction without losing the scenario intent.
  4. Finish with timed runs so implementation choices stay accurate under exam pressure.

Final 7-day AI-103 practice sequence

DayPractice focus
7Open the web app for a timed mixed set, then use the public diagnostic page if you need to tag misses by planning, generative AI, vision, text, or extraction.
6Drill Foundry project setup, model deployments, managed identity, monitoring, evaluation, and governance.
5Drill RAG, Azure AI Search, agents, tools, function calls, prompt workflows, and grounding decisions.
4Drill computer vision, multimodal, text analysis, and information-extraction workloads.
3Drill responsible AI, content safety, telemetry, access control, and deployment operations.
2Complete a timed mixed set and explain the implementation boundary behind every miss.
1Review weak Foundry and service-selection patterns; avoid late memorization of new product names.

When AI-103 practice is enough

If you can score above roughly 75% on several unseen mixed attempts and explain the Foundry, service, grounding, and governance choice behind your answers, you are ready to treat the exam as an implementation-reasoning test. Further practice should improve design judgment, not memorization.

Free study resources

Use this IT Mastery page for live practice, topic drills, timed mocks, explanations, and app access.

Web preview and premium practice

  • Web/public preview: a smaller web set so you can validate the question style and explanation depth.
  • Premium: interactive web-app practice with focused drills, mixed sets, timed mock exams, detailed explanations, and progress tracking across web and mobile.

Good next pages after AI-103

  • AI-900 if you need Azure AI fundamentals first
  • AI-901 if your target is the newer fundamentals route
  • AZ-104 if your weak point is Azure identity, networking, storage, and operations context
  • Microsoft Certification Practice Hub if you are comparing Azure, Fabric, security, Microsoft 365, Power Platform, Dynamics 365, GitHub, or Windows Server routes

Official sources

AI-103 Azure AI apps and agents map

Use this map to connect individual items to the Azure AI apps-and-agents decisions this practice page tests.

    flowchart LR
	  S1["Application requirement"] --> S2
	  S2["Plan Foundry project and model deployment"] --> S3
	  S3["Ground with Search or Content Understanding"] --> S4
	  S4["Add tools agents and approvals"] --> S5
	  S5["Secure identity network and PII flow"] --> S6
	  S6["Trace evaluate and release safely"]

Mini Glossary

  • Azure AI Foundry: Microsoft platform for building and managing AI apps, agents, model deployments, and evaluations.
  • Content Understanding: Azure AI capability for extracting structured information from documents, images, audio, or video.
  • Groundedness: Degree to which an AI response is supported by approved source evidence.
  • Managed identity: Azure identity for applications and services without stored secrets.
  • Tool: Callable action or connector an agent can invoke under configured controls.

In this section

AB-731
AI-200
Browse Certification Practice Tests by Exam Family