Microsoft certification practice
Practise Microsoft Azure AI Engineer Associate AI-102 practice test — original exam-style scenarios covering every exam domain, with detailed explanations, wrong-answer analysis, and common exam traps. Microsoft certification exams often test whether you can choose the right Azure, Microsoft 365, identity, security or monitoring action for a realistic administrative scenario. Courseiva helps you practise with structured questions and explanations.
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Recommended: 10-question diagnostic
Covers all 10 domains · takes ~5 min · no account needed · shows your weak areas immediately
Key facts for the Microsoft Azure AI Engineer Associate AI-102 exam.
Exam cost
$165 USD / ~£130
Duration
100 minutes
Question count
40–60 questions
Passing score
700 / 1000
Validity
1 year (renewal available online)
Delivered by
Pearson VUE
Online proctored
Yes — available
Retake policy
100% free — no account required
Everything on Courseiva for AI-102 is free — no subscription, no trial, no email wall.
Courseiva provides free Microsoft Azure AI Engineer Associate AI-102 (AI-102) practice questions with original exam-style questions, detailed explanations, topic-based practice, mock exams, readiness tracking, and study analytics. Courseiva is an independent platform and is not affiliated with Microsoft.
24 hours before second attempt; 14 days for third and subsequent attempts
Question formats
The AI-102 exam validates skills in designing and implementing AI solutions on Microsoft Azure. Candidates demonstrate proficiency with Azure Cognitive Services, Azure OpenAI Service, Azure AI Search, and applied AI services such as Document Intelligence and Azure Bot Service. The certification is aimed at AI engineers who collaborate with data scientists, data engineers, and solution architects. It covers solution planning, implementation, monitoring, and responsible AI practices.
Official prerequisite
None formally required; Azure Fundamentals (AZ-900) recommended
Recommended experience
1+ year of experience building AI solutions on Azure and familiarity with C# or Python
Developers or engineers with at least one year of hands-on experience with Azure AI and Cognitive Services APIs
Should you skip this exam?
Skip if you have no programming background or are brand new to Azure — start with AZ-900 then AZ-204
Courseiva study tip
Prioritise hands-on labs with Azure OpenAI, Cognitive Services, and AI Search; the exam emphasises implementation over theory
UK salary range
£55,000 – £85,000
US salary range
$110,000 – $155,000
Job roles that cite AI-102
What certification to take next
The exam costs $165 USD (approximately £130 GBP). Microsoft often provides discounts for students and through learning partners.
You need a score of 700 out of 1000 to pass the AI-102 exam.
AI-102 is rated Moderate-Hard. It requires hands-on knowledge of Azure AI services and typically needs 80–120 hours of preparation including practical lab work.
The exam contains between 40 and 60 questions, including multiple choice, case studies, and drag-and-drop items.
It tests your ability to plan and implement Azure AI solutions using Azure Cognitive Services, Azure OpenAI Service, Azure AI Search, Document Intelligence, and Azure Bot Service, including responsible AI practices.
The certification is valid for one year. You can renew it for free online through a renewal assessment on Microsoft Learn before it expires.
AI engineers, developers, and architects who design and build Azure-based AI solutions. You should have programming experience in Python or C# and hands-on Azure AI familiarity.
See how AI-102 stacks up against related certifications.
Practice modes
Choose a mode that matches your current study phase. Use topic practice early on and mock exams closer to your exam date.
All AI-102 Questions
Browse the full question bank organised by domain and difficulty.
Practice Test
Start a session with detailed answer explanations after each question.
Mock Exam
Simulate the real exam with a timed, full-length question set.
Quick 10
A 10-question warm-up — ideal for a short daily study session.
Flashcards
Reinforce key terms, commands, and protocol facts with flashcards.
Domain Practice
Focus exclusively on one exam domain to target your weakest area.
50-Question Set
Mid-length practice set covering all domains.
Full-length Simulation
Full exam simulation matching the real question count.
Exam guide
Start with a short practice session, review each missed answer, then return to the topics that caused mistakes.
Cloud concepts questions usually test the service model (IaaS/PaaS/SaaS) and deployment model (public/private/hybrid/community) appropriate for a given scenario.
IaaS, PaaS and SaaS responsibilities and examples.
Public, private, hybrid and community cloud deployment models.
On-premises vs cloud trade-offs: cost, control, scalability.
How cloud connectivity options (VPN, Direct Connect, ExpressRoute) work.
Related practice questions
Use these internal links to move from the exam guide into focused topic practice pages.
Practise AI-102 questions linked to Implement an agentic solution.
Practise AI-102 questions linked to Implement computer vision solutions.
Practise AI-102 questions linked to Implement knowledge mining and information extraction solutions.
Practise AI-102 questions linked to Implement image and video processing solutions.
Practise AI-102 questions linked to Implement natural language processing solutions.
Practise AI-102 questions linked to Implement generative AI solutions.
Practise AI-102 questions linked to Implement agentic AI solutions.
Practise AI-102 questions linked to Implement knowledge mining and document intelligence solutions.
Practise AI-102 questions linked to Plan and manage an Azure AI solution.
Practise AI-102 questions linked to Implement content moderation solutions.
Practise AI-102 questions linked to AI-102 fundamentals.
Practise AI-102 questions linked to AI-102 scenario.
Practice directory
Every practice set is a unique selection of questions — numbered tests, domain-focused sessions, and topic-specific quizzes.
Showing 30 of 64 tests. See all 64 AI-102 practice tests →
Timed mode
Official blueprint
Target weak areas by practising questions from a single domain. Each domain page shows all questions, difficulty breakdown, and a focused practice session.
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Practise AI-102 questions in this domain →
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Free study guide
The Courseiva AI-102 study guide covers exam format, the official domain blueprint with weights, a structured study plan, and domain-specific tips for each section. Use it alongside practice questions to build both conceptual depth and exam confidence.
Sample questions
Select your answer before revealing the explanation. These questions are original exam-style — not copied from any exam or dump site.
Drag steps to the numbered slots on the right, or tap a step then tap a slot.
Drag steps to the numbered slots on the right, or tap a step then tap a slot.
Drag steps to the numbered slots on the right, or tap a step then tap a slot.
Drag steps to the numbered slots on the right, or tap a step then tap a slot.
Trap 1: Apply image pre-processing to normalize lighting before sending to…
Pre-processing helps but does not address the root cause if the model was not trained on varied data.
Trap 2: Increase the number of training images without varying lighting…
More images without variation will not help the model generalize to different lighting.
Trap 3: Use a pre-built model from Azure AI Vision instead of a custom…
Pre-built models are not specialized for defect detection in manufacturing.
Apply image pre-processing to normalize lighting before sending to the model.
Why wrong: Pre-processing helps but does not address the root cause if the model was not trained on varied data.
Increase the number of training images without varying lighting conditions.
Why wrong: More images without variation will not help the model generalize to different lighting.
Retrain the model using images captured under various lighting conditions, using data augmentation.
Including diverse lighting in training data and using augmentation improves robustness.
Use a pre-built model from Azure AI Vision instead of a custom model.
Why wrong: Pre-built models are not specialized for defect detection in manufacturing.
Trap 1: Configure Prompt Shields in Azure AI Content Safety.
Prompt Shields protect against prompt injection attacks, not automatically filter harmful content.
Trap 2: Use Azure AI Content Safety with a custom category severity…
Custom Content Safety is for custom categories, but the question asks for automatic filtering of harmful content, which is built into the default content filtering.
Trap 3: Use groundedness detection in Azure AI Content Safety.
Groundedness detection checks if the model's output is based on source material, not for harmful content.
Enable the default content filtering system in Azure OpenAI Service.
Azure OpenAI Service includes a default content filtering system that automatically filters harmful content based on severity levels.
Configure Prompt Shields in Azure AI Content Safety.
Why wrong: Prompt Shields protect against prompt injection attacks, not automatically filter harmful content.
Use Azure AI Content Safety with a custom category severity threshold.
Why wrong: Custom Content Safety is for custom categories, but the question asks for automatic filtering of harmful content, which is built into the default content filtering.
Use groundedness detection in Azure AI Content Safety.
Why wrong: Groundedness detection checks if the model's output is based on source material, not for harmful content.
Official booking and top-rated study resources for the AI-102.
Question Discussion
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