AI-103 Practice Test & Mock Exam
Prepare for AI-103 with Azure AI implementation cases, Python, configuration exhibits, and agent decisions. Try explained questions and interactive IT Mastery practice.
Prepare for AI-103: Developing AI Apps and Agents on Azure with IT Mastery. The upgraded bank includes implementation scenarios, Python and configuration exhibits, diagnostic cases, agent and retrieval decisions, and selected diagram questions. Detailed explanations help you understand the requirements and compare plausible alternatives.
These are original, independent practice questions, not copied Microsoft exam content. IT Mastery is not affiliated with or endorsed by Microsoft.
What an IT Mastery pass includes
An active IT Mastery subscription or access pass includes every question in this AI-103 bank, across all five topics, plus every other practice bank in IT Mastery. The 7-Day Review Pass provides that access for seven days with one payment and no automatic renewal. Longer plans provide a longer access period; they do not reserve additional AI-103 topics for a higher tier.
The free web preview lets you try the question style before purchasing. In the app, Practice shows how many questions are available in each topic. Those figures describe the topic’s inventory. A timed mock uses a smaller selection from the bank, so its question count is not the limit of your paid access.
For example, 155 questions under Computer Vision means 155 questions in that topic. It is one part of the complete AI-103 bank shown below. Sign in with the same IT Mastery account on web and mobile to use your access across devices.
Preview the practice
The free AI-103 practice exam offers 50 selected-response questions with explanations. It is a practice preview, not a claim that the official exam contains 50 questions or uses the same interactions.
Open IT Mastery for topic drills, mixed practice, timed mocks, and progress tracking. Use the same IT Mastery account across the web and mobile app. For questions marked Select TWO, evaluate both selections against the case facts rather than looking for a single preferred service.
What AI-103 practice covers
AI-103 focuses on developing and operating AI applications. Be ready to connect model behavior with code, identity, retrieval, tool execution, evaluation, and deployment constraints. The Microsoft study guide describes the required skills and expects Python development experience.
| Official domain | Official exam weight | Questions in the app |
|---|---|---|
| Plan and manage an Azure AI solution | 25–30% | 273 |
| Implement generative AI and agentic solutions | 30–35% | 393 |
| Implement computer vision solutions | 10–15% | 155 |
| Implement text analysis solutions | 10–15% | 185 |
| Implement information extraction solutions | 10–15% | 205 |
| Entire AI-103 practice bank | — | 1,211 |
Question-count snapshot: September 25, 2026. These are practice-bank totals, not the number of questions you will receive in an official exam. Official weights describe the exam’s domain allocation; the app counts describe the available practice inventory. Counts may increase as the bank expands.
These weights follow the skills measured from April 16, 2026, checked September 23, 2026. Use the official study guide as the scope reference.
The practice spans Microsoft Foundry projects and model deployments; grounded responses and search; agents, tools, and conversation state; visual and audio workloads; structured extraction; and secure operations. Computer vision includes image and video generation, editing, and understanding, so an OCR-only review is too narrow. Text and extraction work also requires attention to speech, translation, output structure, and evidence quality.
Why the practice includes code
AI-103 is a developer exam. Microsoft’s study guide expects experience developing applications with Python and includes integrating generative workflows through Foundry SDKs and connectors, connecting applications to Foundry projects, and integrating agent tools such as APIs and custom functions.
Our original code and configuration questions practise those implementation decisions: identifying the right deployment or connection, following data through a workflow, choosing a valid tool call, or correcting a configuration that violates the requirements. Some questions use labelled pseudocode to isolate the logic. Read the supplied interface and assumptions; a simplified example is not a promise of runnable SDK code.
These are independent learning formats based on the objectives, not a prediction of the exact question formats on your exam. The scenario guide explains how to approach them, and the official resources help you connect practice with hands-on work.
Practice settings and the official assessment
IT Mastery’s timed-practice setting is 50 questions in 120 minutes. Microsoft allocates 120 minutes to AI-103 and notes that interactive components may appear. The certification page does not promise a fixed question count. Its practice assessment and exam sandbox are useful companions to independent question practice.
The associated credential is Microsoft Certified: Azure AI Apps and Agents Developer Associate. Use Microsoft’s certification page for current booking and assessment details.
Build implementation confidence
- Begin with a mixed attempt and identify whether misses concern service choice, code, retrieval, agents, multimodal processing, or operations.
- Explain what the evidence establishes before choosing a remedy. An authentication failure, an empty search result, and an unsupported tool call require different checks.
- Recreate a small version of difficult workflows using the current Microsoft documentation. Match the SDK, API surface, and endpoint to the example.
- Return to unfamiliar cases and timed practice after addressing the gap.
Practice scores show where further work may help; they do not guarantee a Microsoft exam result. Focus on explaining decisions and implementing them, rather than recalling answer positions.
Free study resources
Use the blueprint to check coverage and the official resources to verify current Microsoft guidance. The scenario guide helps you interpret developer evidence before returning to interactive practice.
In this section
- AI-103 — Microsoft Azure AI Apps and Agents Developer Associate Cheat SheetCheat sheet: exam-prep reference for Microsoft AI-103 covering Microsoft Foundry, Azure OpenAI, agents, RAG, Azure AI Search, security, evaluation, and operations.
- AI-103 — Microsoft Azure AI Apps and Agents Developer Associate Study PlanA practical AI-103 study plan for Microsoft Azure AI Apps and Agents Developer Associate candidates, with 7-day, 14-day, 30-day, and 60/90-day schedules.
- AI-103 — Microsoft Azure AI Apps and Agents Developer Associate Exam BlueprintPractical AI-103 exam blueprint for Microsoft Azure AI Apps and Agents Developer Associate candidates covering Azure AI apps, agents, RAG, security, monitoring, and final review.
- AI-103 — Microsoft Azure AI Apps and Agents Developer Associate Scenario Practice GuidePractical AI-103 scenario-reading process for Azure AI apps, agents, RAG, security, troubleshooting, and service selection.
- Free AI-103 Practice Exam: Azure AI Apps and AgentsTry 50 free AI-103 practice questions with explained answers, realistic scenarios, and a topic review worksheet. Continue with interactive IT Mastery practice.
- AI-103 Practice Updates and FeedbackTrack AI-103 practice improvements, understand access and developer question formats, and send private feedback to IT Mastery.
- AI-103 — Microsoft Azure AI Apps and Agents Developer Associate Official ResourcesVerified Microsoft AI-103 scope and assessment links, current Foundry Python and agent runtime documentation, and guidance for using them with independent practice.