This exam was retired by the vendor on June 30, 2026.
AI-102 can no longer be scheduled. The practice material below remains available for reference and for learners studying the underlying skills. See Microsoft's current AI certifications
Free AI-102 practice test — 761+ AI-102 practice questions with detailed explanations across all 8 official AI-102 exam domains. Every set is scored and drawn from the live question bank — so you practise exactly what the exam tests, not outdated dumps.
Courseiva includes 761+ Microsoft Azure AI Engineer Associate AI-102 practice questions across the official exam domains.
Feature
Courseiva
This free AI-102 practice test mirrors the structure and difficulty of the real Microsoft Azure AI Engineer Associate AI-102 exam. Every question is written against the official 2026 exam blueprint published by Microsoft, ensuring you practise exactly what the exam tests — not last year's objectives.
The AI-102 blueprint is divided into 8weighted domains. Questions on this page are distributed proportionally across each domain, so the mix you see here reflects the same weighting you'll face on exam day. High-weight domains like Plan and manage an Azure AI solution and Implement generative AI solutions contribute the most questions, meaning focused practice on these areas gives you the highest return on study time.
AI-102 Exam Blueprint — 8 Domains
Implement computer vision solutions
Implement knowledge mining and information extraction solutions
Implement generative AI solutions
Plan and manage an Azure AI solution
Implement agentic AI solutions
Implement an agentic solution
Implement knowledge mining and document intelligence solutions
Implement natural language processing solutions
53 numbered sets, 8 domain question banks, and targeted sessions — every page is a unique set of questions.
192 questions
All 192 questions →Choose all correct answers
Each chapter page covers one topic in depth — theory, key concepts, and focused practice questions. Use these to close knowledge gaps before returning to full practice tests.
Getting the most from practice questions requires more than just clicking through answers. Here is the study method used by candidates who pass AI-102 on their first attempt:
Answer before revealing
Read each AI-102 question fully, eliminate obviously wrong choices, then commit to an answer before clicking to reveal. This active recall process is what builds lasting knowledge.
Read every explanation
Even when you answer correctly, read the full explanation. Knowing WHY the right answer is correct — and why the distractors are wrong — is what separates a 750 score from a 900 score.
Track weak domains
Note which AI-102 domains you get wrong most often. Then do a targeted 20-30 question session focused only on that domain until your accuracy improves.
Simulate exam pacing
The real AI-102 gives you roughly 2 minutes per question. Use the 60 or 120-question sessions to practise hitting that pace comfortably.
Most candidates who pass AI-102 on their first attempt report doing between 400 and 800 practice questions over 4–8 weeks of preparation. With 761+ questions in the Courseiva bank, you have more than enough material to build that repetition without seeing the same question twice.
Answer each question to reveal the full explanation and correct answer. This starter set is drawn from all 8 exam domains in blueprint proportion. Use the session selector to start a longer focused practice run.
A company uses Azure Face API to verify employee identities for building access. They need to ensure that only live faces are used, not photos or videos. Which feature should they enable?
Select an answer to reveal the explanation
A company is building a solution to analyze customer reviews images using Azure AI Vision. They need to extract text from images that may contain both printed and handwritten text. Which feature should they use?
Select an answer to reveal the explanation
You are a data scientist for Contoso Pharmaceuticals. The company has thousands of research documents in PDF format stored in Azure Blob Storage. You need to build an Azure Cognitive Search solution that enables researchers to search for documents based on chemical compound names, disease mentions, and experimental results. The solution must extract these entities using a custom AI model built in Azure AI Language. Additionally, the solution must support semantic search for natural language queries. The search index must be updated daily with new documents. You have an existing Azure AI Language custom entity extraction model that recognizes chemical compounds and diseases. The model is deployed as an endpoint. You need to configure the enrichment pipeline. What should you do?
Select an answer to reveal the explanation
You need to generate realistic synthetic data for training a machine learning model while ensuring the data does not contain personally identifiable information (PII). Which Azure service should you use?
Select an answer to reveal the explanation
You are a cloud solution architect at a legal firm. The firm needs to automate the summarization of legal documents. They have a large corpus of past case summaries and legal documents stored in Azure Blob Storage. They want to use Azure OpenAI to generate summaries for new documents. The solution must ensure that the generated summaries are accurate and do not contain hallucinated legal facts. The firm also requires that the solution be serverless and minimize operational overhead. You need to design the solution.
Option A: Use Azure OpenAI with a system message that instructs the model to be accurate. Deploy the model as a web app on Azure App Service and call it from Azure Functions triggered by new blob uploads.
Option B: Use Azure OpenAI with Retrieval-Augmented Generation (RAG) by indexing the past case summaries in Azure AI Search. Use Azure Functions to process new documents, retrieve relevant cases, and pass them as context to the model. Store summaries in Azure Cosmos DB.
Option C: Fine-tune an Azure OpenAI model on the past case summaries and deploy it as a managed endpoint. Use Azure Logic Apps to trigger summarization when new blobs are added.
Option D: Use Azure OpenAI with the chat API and provide the entire document in the prompt. Use Azure Container Instances to run a service that calls the API and writes summaries back to Blob Storage.
Which option should you choose?
Select an answer to reveal the explanation
You are developing a generative AI application that uses Azure OpenAI Service to summarize large documents. The application experiences high latency when processing requests. You need to reduce the latency without changing the model. What should you do?
Select an answer to reveal the explanation
You manage an Azure AI Search service that indexes legal documents. The search latency is high, and you need to improve query performance without reducing index size. Which action should you take?
Select an answer to reveal the explanation
You need to enforce that only users from your Microsoft Entra ID tenant can call your Azure AI Language API endpoint. Which security mechanism should you configure?
Select an answer to reveal the explanation
You are designing a solution that uses Azure AI Vision to analyze images for moderation. The solution must detect adult content and identify text in images. You need to minimize latency and cost. Which approach should you recommend?
Select an answer to reveal the explanation
Your Azure AI Search index contains millions of documents. Users report that search results are slow for complex queries. You need to improve query performance without reducing result quality. Which action should you take?
Select an answer to reveal the explanation
You are using Microsoft Copilot Studio to create an agent that handles customer support. The agent needs to understand the user's intent from free-text input. Which feature should you use to map user utterances to specific topics?
Select an answer to reveal the explanation
A company uses Azure AI Search to index a large collection of scanned invoices stored in Azure Blob Storage. They have a skillset that includes an OCR skill to extract text from the invoices. The indexer is configured to run every night. They notice that the indexer takes a long time to complete and sometimes times out. They want to optimize the indexer performance without reducing the quality of the extracted text. What should they do?
Select an answer to reveal the explanation
You are a solution architect at a media company. The company uses Azure AI Speech to generate subtitles for videos. The current solution uses the batch transcription API and takes several hours to process a 1-hour video. The business requires near-real-time subtitles for live streaming events. You need to design a new solution that provides low-latency transcription. You have the following options:
Option A: Use the batch transcription API with a higher priority queue.
Option B: Use the Speech-to-text REST API for real-time streaming with the Speech SDK.
Option C: Use the Azure AI Language API to transcribe audio from a file.
Option D: Use Azure AI Video Indexer to generate subtitles.
Select an answer to reveal the explanation
You are building a multilingual chatbot using Azure AI Language. The chatbot must handle English, Spanish, and French. You need to configure the LUIS (Language Understanding) model to support multiple languages efficiently. What is the best practice?
Select an answer to reveal the explanation
You are designing a multilingual chatbot using Azure AI Language. The chatbot must support English, Spanish, and French. You need to minimize development effort and ensure consistent intent recognition across languages. What should you do?
Select an answer to reveal the explanation
You need to implement a solution that searches through a collection of scanned invoices and extracts invoice numbers, dates, and total amounts. The solution must run on a schedule without manual intervention. Which Azure service should you use?
Select an answer to reveal the explanation
You deploy the ARM template shown in the exhibit. After deployment, you need to allow access to the Language service from your on-premises application. What should you do?
Select an answer to reveal the explanation
You are using Azure OpenAI Service to generate product descriptions. You notice that the model occasionally outputs descriptions that contain factual inaccuracies about product specifications. You want to reduce these hallucinations without changing the model. What should you do?
Select an answer to reveal the explanation
Your company uses Azure OpenAI to generate code snippets. Developers need to ensure that the generated code does not contain security vulnerabilities. What should you implement?
Select an answer to reveal the explanation
A company wants to use Azure AI Translator to translate customer emails from English to French. They need to ensure that the translation preserves the tone and formality of the original text. What should they configure in the request?
Select an answer to reveal the explanation
Answer all 20 questions to see your domain score breakdown
A structured study plan dramatically increases your chances of passing AI-102 on the first attempt. The most effective approach combines reading the official Microsoft documentation or a study guide, watching video explanations for difficult concepts, and then reinforcing everything with daily practice questions.
We recommend the following weekly structure for AI-102 preparation:
Cover each AI-102 domain systematically. Read the exam objectives, watch explanatory content, and do 10–20 practice questions per domain to test understanding as you go.
Run full 50–60 question mixed sessions daily. Review every wrong answer in detail. Identify which domains are consistently scoring below 70% and revisit those study materials.
Do 100–120 question timed sessions to simulate real exam conditions. Aim for consistent scores above 80% before booking your exam date. A score above 80% in practice typically translates to a passing AI-102 score.
On exam day, the AI-102 tests your ability to apply knowledge to realistic scenarios — not just recall definitions. This is why reading explanations and understanding the reasoning behind every answer matters more than simply grinding question volume. Use the high-count sessions (100, 120) in the final weeks as your confidence benchmark.
Questions
50
On the real exam
Time limit
100 min
2 min per question
Passing score
700/1000
Scaled scoring
The AI-102 exam uses a scaled scoring system — your raw score of correct answers is converted to a score out of 1000. A passing score of 700/1000 does not mean you need 70% of questions correct; the conversion accounts for question difficulty. Consistently scoring above 75–80% on practice tests puts you in a strong position to achieve 700/1000 on the real exam.
Scenario-based questions covering exam objectives with detailed answer explanations.
Yes. Courseiva provides free Microsoft Azure AI Engineer Associate AI-102 practice questions with explanations across the official exam domains. Start with a quick practice test, then continue with topic-based practice, mock exams, missed-question review, bookmarked questions, weak-topic recommendations, and readiness tracking. No account required. Create a free account to unlock per-domain analytics and progress tracking across every certification on the platform. Courseiva is free forever, supported by advertising.
Every question is written against the official AI-102 exam blueprint published by Microsoft. Our questions follow the same wording style, scenario complexity, and answer structure as the actual exam. They are original questions — not brain dumps — so you learn the underlying concepts and reasoning, not just memorised answers. Candidates who study with brain dumps often pass but have no transferable knowledge; Courseiva questions make you genuinely competent.
Most candidates who pass AI-102 on their first attempt do 30–60 questions per day. Use the Quick 10 session for daily warm-ups when you are short on time. On study days, run a 50 or 60-question session to build stamina. Reserve 100 and 120-question sessions for the final two weeks when you want to simulate real exam conditions and benchmark your readiness.
The AI-102 covers 8 domains: Implement computer vision solutions (13%), Implement knowledge mining and information extraction solutions (9%), Implement generative AI solutions (19%), Plan and manage an Azure AI solution (24%), Implement agentic AI solutions (4%), Implement an agentic solution (4%), Implement knowledge mining and document intelligence solutions (9%), Implement natural language processing solutions (18%). Each domain carries a different weight, so allocate your study time accordingly. The highest-weighted domains — Plan and manage an Azure AI solution and Implement generative AI solutions — should receive the most attention.
Exam dumps are memorised question-and-answer lists taken from actual exam papers, often obtained illegally and shared without Microsoft's authorisation. Using them violates your NDA and Microsoft's certification agreement, and can result in certification revocation. Courseiva questions are original — AI-assisted, checked against the official exam objectives, and published under the editorial oversight of an engineer with 12+ years' experience. They test the same knowledge areas using new scenarios and wording. You learn the material, not just the answers.
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