Microsoft Certification AI-102

AI-102: Review the final outline. Move forward informed.

See your predicted score, follow a study plan based on your answers, and revisit topics you're starting to forget. It all runs on your device.

334 practice questions AI score prediction 100% offline

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Original questions with written explanations. How we review them · About readiness estimates

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Nine interactive practice formats, on iPhone

Azure Mastery has nine interactive formats for exam practice. The examples below show original AI-102 practice questions in Azure Mastery on iPhone and iPad. The exam simulator uses timed sessions with the published domain weights. Microsoft's live interface and question mix may differ.

What is the name of the object that represents one execution of an agent against a thread?

A run
A repository
A workbook
An indexer

Multiple choice

Read the answer and explanation

A run — In the Foundry Agent Service and Azure OpenAI Assistants object model, a run represents one execution of an agent against a thread: it reads the thread messages, decides whether to call tools such as file_search or code_interpreter, appends responses, and progresses through statuses like queued, in_progress, requires_action, and completed, with run steps recording the detailed actions. A repository stores version-controlled code, a workbook is an Azure Monitor reporting surface, and an indexer is an Azure AI Search ingestion job, so none of them captures a single agent invocation.

An original AI-102 practice question with one correct answer. Choose an option to read its written rationale.

Exam-specific sample

Explore more question formats

Which THREE message roles are used in the Azure OpenAI chat completions API? (Choose three.)

System
User
Assistant
Admin
Moderator

Read the answer and explanation

System, User, Assistant — The chat completions API uses three message roles: system seeds the conversation with behavioral instructions and persona, user carries the end user's input for each turn, and assistant holds the model's own generated replies so it stays consistent across turns. admin and moderator are not recognized roles; the API accepts only system, user, assistant, and tool, and content moderation in Azure OpenAI is handled by Content Safety filters rather than a dedicated role.

Multi-select

An original AI-102 multi-select question. Select all the correct options to earn the mark.

All-or-nothing

Arrange the steps to create and invoke an agent using the Microsoft Foundry Agent Service SDK in the correct order.

⋮⋮1Create an agent with instructions and tools
⋮⋮2Create a thread for the conversation
⋮⋮3Add a user message to the thread
⋮⋮4Create a run on the thread to invoke the agent
⋮⋮5Retrieve the agent's response from the completed run

Drag-and-drop

An original AI-102 ordering question you can answer by touch on iPhone and iPad.

Interactive item

Hotspot

An original AI-102 question with a visual prompt, designed for touch on iPhone and iPad.

Tap target

Woodgrove Bank AI Assistant Woodgrove Bank has 500 financial advisors across 50 branches. They currently rely on a keyword-based search tool to find information in product documentation, which is…

1Referring to the Woodgrove Bank case study: Which architecture pattern should be…
2Referring to the Woodgrove Bank case study: How should the assistant look up…
3Referring to the Woodgrove Bank case study: Which TWO configurations ensure the…

Case studies

An original AI-102 case study with several questions about the same requirements and environment.

Multi-question

Answer Coach

Answer Coach explains why the answer is correct and, where available, why each option is right or wrong. It helps you understand a mistake and remember the distinction. Read explanations after each question or at the end of a practice test. On supported devices, optional AI can reword a note on your device after checking it against the written guidance.

App exclusive

AI-102 Retired Exam Practice & Next Steps — Microsoft Azure AI Engineer

Review the final AI-102 outline on iPhone or iPad, preserve the Azure AI skills you learned, and compare them with the current AI-103 requirements. Core study stays on-device and works offline; optional sync uses your private iCloud account. See every retired Microsoft exam and its successor on the retired exams hub.

The exam

What is the AI-102 exam?

AI-102 was the exam for Microsoft Certified: Azure AI Engineer Associate. Microsoft retired both the exam and certification on 30 June 2026, so AI-102 can no longer be scheduled. AI-103 is the current role-based route for developing AI apps and agents on Azure. This page and its question bank remain available as reference material for the final AI-102 outline.

AI-102 is hands-on and code-aware. It validates that you can plan and manage Azure AI solutions (resource provisioning, RBAC, monitoring, deployment), implement generative AI solutions using Azure OpenAI (prompt engineering, RAG, content filters), implement agentic solutions (Azure AI Foundry agents, tool calling), build computer-vision solutions (image analysis, OCR, custom models with AI Vision), implement NLP solutions (Azure AI Language for entity recognition, sentiment, summarisation; Azure AI Speech for transcription and synthesis), and build knowledge-mining and information-extraction solutions (Azure AI Search, Document Intelligence). Expect scenario questions with REST API calls, Python SDK snippets, and config JSON.

Microsoft last updated the AI-102 skills outline on 23 December 2025, adding the "Implement an agentic solution" domain and rebalancing weights toward generative AI. Every question in Azure Mastery's AI-102 bank is mapped to that final outline. Read the archived official outline at learn.microsoft.com.

QuestionsTypically 40–60; formats vary
Duration100 minutes
Pass score700 / 1000
CostNot schedulable
CredentialAzure AI Engineer Associate retired
StatusRetired 30 June 2026

Skills measured · April 2026

AI-102 exam objectives

Six domains, with weights set by Microsoft's December 2025 update. Every domain summary below is paraphrased from the official skills outline; Azure Mastery tags questions by exam objective, so you can see which domains need more practice.

Aura presents a visual map of data, models, agents, and responsible AI skills. — AI & agent skill map

Plan and manage an Azure AI solution20–25%

Explore key topics

Tied for the largest domain. Plan and provision Azure AI services resources — multi-service vs single-service accounts, RBAC roles, customer-managed keys, regional and SKU choices. Manage authentication (keys, RBAC, managed identities), networking (VNet integration, private endpoints), and content moderation. Plus Responsible AI considerations, monitoring with Azure Monitor and Application Insights, and deployment strategies (containers, ARM/Bicep). Around 8–15 questions per sitting.

Implement generative AI solutions15–20%

Explore key topics

Azure OpenAI end-to-end. Provision Azure OpenAI resources, deploy models, choose the right model (GPT family, embeddings, image, audio), prompt engineering basics (system prompts, few-shot, chain-of-thought), retrieval-augmented generation (RAG) with Azure AI Search and embeddings, content filters and abuse monitoring, fine-tuning workflows, evaluating model outputs (groundedness, relevance, fluency). Around 6–12 questions.

Implement an agentic solution5–10%

Explore key topics

New domain in the December 2025 outline — smallest by weight but distinct. Cover Azure AI Foundry agents, tool calling and function definitions, agent grounding via knowledge sources, multi-agent orchestration patterns, agent observability and tracing. Around 2–6 questions.

Implement computer vision solutions10–15%

Explore key topics

Azure AI Vision for image analysis (tagging, captioning, OCR via Read API, smart cropping), Custom Vision for image classification and object detection (training, evaluation, deployment), Face service (detection, identification, verification — note Limited Access policy), and Video Analyzer for Media. Around 4–9 questions.

Implement natural language processing solutions15–20%

Explore key topics

Azure AI Language for entity recognition, sentiment analysis, key phrase extraction, language detection, summarisation, custom text classification, custom named-entity recognition, conversational language understanding (CLU), and question answering. Azure AI Speech for speech-to-text, text-to-speech, speech translation, custom speech, and pronunciation assessment. Azure AI Translator for text and document translation. Around 6–12 questions.

Implement knowledge mining and information extraction solutions15–20%

Explore key topics

Tied for the largest domain in scope. Azure AI Search end-to-end — indexers, indexes, skillsets, semantic search, vector search, hybrid search. Document Intelligence (formerly Form Recognizer) — prebuilt models (invoice, receipt, ID, business card, layout) and custom models (template, neural). Around 6–12 questions.

Designed for AI-102

How Azure Mastery preserves AI-102 coverage

Exam-specific practice

334 AI-102 practice questions aligned to the published skills outline.
Coverage follows the official six domains (Plan/manage, generative AI, agentic, vision, NLP, knowledge mining).
Practise decisions from the exam outline with scenarios and interactive questions.

Predicted score

Exam IQ predicts your AI-102 score on-device after roughly 30 questions.
A confidence range shows how stable the prediction is.
See which exam objectives need the most work.

Adaptive study plan

Your study plan updates as you answer questions.
Missed topics return sooner; consistently mastered topics appear less often.
Sessions focus on the gaps most likely to help you reach the 700 pass score.

Knowledge decay

Track which topics you're starting to forget.
Get reminders to revisit those topics before exam day.
Weak-spot sessions bring fading topics back into practice.

Exam rehearsal

Practise staying focused through a full 100-minute session.
Original questions follow the published domain weighting.
Microsoft controls the live interface and exact question mix.

Answer Coach

Every answer has a written explanation, with reasons for individual options where available.
See why you missed an answer, how the options differ, and what to remember.
On supported devices, optional AI can reword notes while checking them against the written explanations.

Aura guidance

Aura suggests what to do after each session.
Recaps show your progress and which topics to practise next.

Private by design

Practice, scoring, readiness, and coaching run on-device.
You don't need an Azure Mastery account or a server to process your study data.
Optional sync uses your private iCloud account.

6-week study plan

Suggested AI-102 study plan

Use this six-week plan as a reference to AI-102's final outline. For the active apps and agents route, move to the AI-103 study plan before choosing an exam.

Plan and manage AI
- Compare single-service and multi-service resources.
- Review RBAC, keys, networking, moderation and responsible AI.
- Monitor resources and review container or ARM/Bicep deployment.
Generative AI
- Review Azure OpenAI provisioning and model deployment.
- Practise prompts, embeddings and RAG with Azure AI Search.
- Compare content filters, fine-tuning and evaluation metrics.
Computer vision
- Review image analysis and OCR with Azure AI Vision.
- Compare Custom Vision classification and object detection.
- Revisit Face access restrictions and video-analysis scenarios.
Language and speech
- Explore entities, sentiment, summaries, CLU and question answering.
- Compare speech-to-text, text-to-speech and custom speech.
- Review text and speech translation scenarios.
Search, documents and agents
- Review Search indexes, indexers, skillsets and semantic or vector search.
- Compare Document Intelligence models.
- Explore Foundry agents, tool calling and multi-agent orchestration.
Review and move forward
- Use Focus Weak Spots for historical revision.
- Review retained simulator questions and explanations.
- Move to the AI-103 bank before scheduling an exam.

Frequently asked

AI-102 FAQs

Can I still take the AI-102 exam?

No. Microsoft retired AI-102 and the Azure AI Engineer Associate certification on 30 June 2026. The exam can no longer be scheduled.

What replaced AI-102?

AI-103 is the current role-based route for developing AI apps and agents on Azure. It leads to the Azure AI Apps and Agents Developer Associate credential and assesses Python, Microsoft Foundry, generative and agentic solutions, vision, text analysis, and information extraction.

What happens if I already earned Azure AI Engineer Associate?

A certification earned before retirement remains on your Microsoft Learn transcript. AI-102 and its renewal assessment are retired, so the exam cannot be retaken or newly earned.

Are AI-102 practice questions still useful?

Yes, as reference material for Azure AI services, generative AI, vision, language, search, and document intelligence. New candidates should study the current AI-103 outline and use its exam-specific bank.

What is the current path after AI-102 retirement?

AI-901 is the current Azure AI Fundamentals exam, and AI-103 is the current role-based route for developing AI apps and agents on Azure. AI-102 content remains useful as historical reference, but new candidates should use the AI-901 and AI-103 outlines rather than planning an AI-102 certification path.

What replaced the retired AI-102 and DP-100 routes?

Microsoft replaced the retired AI-102 route with AI-103 for Azure AI apps and agents, and identifies AI-300 as the replacement for the retired DP-100 data-science route. AI-103 focuses on application and agent development; AI-300 focuses on operationalizing machine learning and generative AI systems.

Is Azure Mastery free for AI-102 prep?

AI-102 is a retired reference pack. Previously purchased access stays available. For new study, choose a current exam and start with 50+ free questions and written explanations. Pro adds full Exam IQ insights, Answer Coach, the simulator and Ask Aura Preview for supported current exams.

Does AI-102 practice work offline?

Yes. Question practice, scoring, and the readiness prediction all run on-device, so you can study on a flight or a commute with no connection. No account is required, and your study data stays on your device with optional private iCloud sync.

Is there an AI-102 practice test mode?

Yes — timed practice sessions use original, blueprint-aligned questions, published timing guidance, and supported interactive item types. Adaptive study sessions and Focus Weak Spots then target the domains where your accuracy is lowest.

Free study guides

Free guides that pair with AI-102

Where AI-102 fits

AI-102 retirement and current certification paths

AI-102 and the Azure AI Engineer Associate certification retired on 30 June 2026. The diagrams below separate the historical AI-102 route from Microsoft's current AI-901 and AI-103 pathway.

Review AI-102 or move to AI-103

Keep 334 final-outline AI-102 questions for reference, or use Azure Mastery's current AI-103 bank and adaptive study plan for the active Azure AI apps and agents route.

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