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 — 945+ 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 Every set is scored and drawn from the live question bank — so you practise exactly what the exam tests, not outdated dumps.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 945+ 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 an agentic solution
Implement computer vision solutions
Implement knowledge mining and information extraction solutions
Implement natural language processing solutions
Implement generative AI solutions
Implement agentic AI solutions
Implement knowledge mining and document intelligence solutions
Plan and manage an Azure AI solution
62 numbered sets, 8 domain question banks, and targeted sessions — every page is a unique set of questions.
168 questions
All 168 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 945+ 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.
You are building an agentic solution using Microsoft Semantic Kernel. The agent must autonomously decide when to call an external API to fetch real-time data. You want to minimize token usage and avoid unnecessary API calls. Which planner configuration should you use?
Select an answer to reveal the explanation
A retail company uses Azure Computer Vision to analyze customer traffic in stores. They deploy a custom object detection model to count customers and detect occupancy. After deployment, the model consistently underestimates the number of customers during peak hours. The company has retrained the model with more data but the issue persists. What is the most likely cause?
Select an answer to reveal the explanation
A hospital uses Azure Custom Vision to classify X-ray images as normal or abnormal. The model achieves 98% accuracy on the test set. However, during deployment, the model misclassifies many abnormal cases as normal, causing missed diagnoses. The hospital has a class imbalance where abnormal cases are only 5% of the data. What should the data scientist do first to address this?
Select an answer to reveal the explanation
You are building a knowledge mining solution to extract insights from a large set of PDF contracts. The solution must identify parties, dates, and monetary amounts. Which Azure AI service should you use as the primary extraction engine?
Select an answer to reveal the explanation
A company is building a chatbot using Azure Cognitive Service for Language. They need to ensure that user utterances are correctly mapped to the appropriate intent in a custom question answering project. What should they configure?
Select an answer to reveal the explanation
A development team is using Azure Cognitive Service for Language to extract key phrases from customer reviews. They notice that some reviews are not being processed, and the API returns a 400 error code. What is the most likely cause?
Select an answer to reveal the explanation
A company is using Azure Cognitive Service for Language to analyze customer support transcripts. They want to identify custom categories (e.g., 'billing', 'technical support') using a custom text classification model. After training and deploying the model, they receive many false positives for the 'billing' category. What is the best first step to improve model accuracy?
Select an answer to reveal the explanation
A company wants to generate personalized product descriptions for its e-commerce site using Azure OpenAI. They need to ensure the model's output adheres to brand guidelines and does not generate prohibited content. Which approach should they use?
Select an answer to reveal the explanation
A healthcare startup is developing a chatbot that uses Azure OpenAI to answer patient questions. They need to ensure that the chatbot only uses information from their verified medical database and does not generate unsupported medical advice. What is the best approach?
Select an answer to reveal the explanation
A developer wants to deploy a custom generative AI model using Azure Machine Learning. Which compute target should they choose for low-latency real-time inference?
Select an answer to reveal the explanation
A company is building an agent that uses Azure OpenAI Service to answer customer queries by querying a SQL database. The agent must be able to handle complex multi-turn conversations and maintain context. Which approach should the team use to implement the agent?
Select an answer to reveal the explanation
A company is building a knowledge mining solution using Azure AI Search. They need to extract key phrases from a large set of documents in multiple languages. Which skill should they add to the skillset?
Select an answer to reveal the explanation
A company plans to deploy an Azure AI solution that processes sensitive customer data. The solution must comply with GDPR and ensure data residency within the European Union. Which Azure resource configuration should be used?
Select an answer to reveal the explanation
You need to monitor costs for an Azure AI solution that uses multiple Azure AI services. Which Azure tool should you use to set budgets and receive alerts?
Select an answer to reveal the explanation
A company is deploying a custom vision model using Azure Custom Vision. The training data contains images with varying resolutions. The model must achieve high accuracy. Which pre-processing step should be applied to the images before training?
Select an answer to reveal the explanation
You are designing an Azure AI solution that uses Language Understanding (LUIS) for intent detection. The solution must handle multiple languages dynamically based on the user's locale. What should you do?
Select an answer to reveal the explanation
Answer all 16 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 an agentic solution (4%), Implement computer vision solutions (13%), Implement knowledge mining and information extraction solutions (9%), Implement natural language processing solutions (18%), Implement generative AI solutions (19%), Implement agentic AI solutions (4%), Implement knowledge mining and document intelligence solutions (9%), Plan and manage an Azure AI solution (24%). 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 100% original — written by certified engineers to test the same knowledge areas using new scenarios and wording. You learn the material, not just the answers.
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