200+ Free Azure AI-102 Practice Questions
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Key Facts: Azure AI-102 Exam
700/1000
Passing Score
Microsoft
40-60 Q
Typical Questions
Microsoft
100 min
Exam Duration
Microsoft
$165
US Exam Fee
Microsoft
6 domains
Weighted Areas
Current study guide
2025-12-23
Current Outline
Microsoft update
AI-102 is Microsoft's associate-level Azure AI engineer exam. Expect roughly 40-60 questions in 100 minutes, a 700/1000 passing score, and current objectives updated on December 23, 2025 to emphasize Microsoft Foundry terminology, generative AI, agentic workflows, and information-extraction solutions.
About the Azure AI-102 Exam
The AI-102 exam validates the hands-on skills needed to design, build, secure, and operationalize AI solutions on Azure using Microsoft Foundry, Azure OpenAI, Azure AI Search, Vision, Speech, Language, and Document Intelligence services.
Questions
50 scored questions
Time Limit
100 minutes
Passing Score
700/1000
Exam Fee
$165 USD (Microsoft / Pearson VUE)
Azure AI-102 Exam Content Outline
Plan and Manage an Azure AI Solution
Select the right Microsoft Foundry services, deploy resources and models, integrate SDKs and APIs, secure resources, manage monitoring and costs, and implement responsible AI controls.
Implement Generative AI Solutions
Build Foundry projects and prompt flows, deploy Azure OpenAI models, implement RAG, evaluate and optimize models, apply prompt engineering, and operationalize generative workloads.
Implement an Agentic Solution
Create custom agents with Microsoft Foundry Agent Service and Microsoft Agent Framework, orchestrate multi-agent workflows, and test and optimize agent behavior.
Implement Computer Vision Solutions
Analyze images and video, extract text with OCR, build custom vision models, and use spatial analysis and Azure AI Video Indexer capabilities.
Implement Natural Language Processing Solutions
Analyze and translate text, implement speech scenarios, use SSML and custom speech, and build CLU and question answering solutions.
Implement Knowledge Mining and Information Extraction Solutions
Build Azure AI Search indexes, skillsets, and vector search experiences, and implement Document Intelligence and Content Understanding pipelines.
How to Pass the Azure AI-102 Exam
What You Need to Know
- Passing score: 700/1000
- Exam length: 50 questions
- Time limit: 100 minutes
- Exam fee: $165 USD
Keys to Passing
- Complete 500+ practice questions
- Score 80%+ consistently before scheduling
- Focus on highest-weighted sections
- Use our AI tutor for tough concepts
Azure AI-102 Study Tips from Top Performers
Frequently Asked Questions
What is the AI-102 exam?
AI-102 is the exam for the Microsoft Azure AI Engineer Associate credential. It measures whether you can plan, build, secure, and maintain Azure AI solutions across Microsoft Foundry, Azure OpenAI, vision, speech, language, search, and document intelligence workloads.
How many questions are on AI-102 and how long do you get?
Microsoft role-based certification exams typically deliver about 40-60 questions. For AI-102, plan around a 100-minute exam duration and a passing score of 700 out of 1000.
What changed for AI-102 in 2026?
The current Microsoft study guide was updated on December 23, 2025. The latest outline uses Microsoft Foundry and Foundry Tools terminology, keeps the generative AI focus, includes an explicit agentic-solution domain worth 5-10%, and updates Document Intelligence and Content Understanding wording. If you prepared from older AI-102 notes, refresh the terminology before test day.
How hard is AI-102?
AI-102 is a challenging associate-level exam because it expects practical implementation skill, not just service recognition. Candidates need to know when to choose each Azure AI capability, how to secure and monitor it, and how to troubleshoot real solution-design tradeoffs across search, OpenAI, vision, speech, and language services.
How long should I study for AI-102?
Most candidates should plan for about 80-140 hours of prep over roughly 6-10 weeks, depending on prior Azure and AI experience. Strong preparation includes hands-on labs with Foundry projects, Azure OpenAI, Azure AI Search, Document Intelligence, and speech and language services, not just reading the docs.
What experience should you have before taking AI-102?
Microsoft does not list a formal prerequisite exam, but it recommends real experience building Azure AI solutions and familiarity with Python or C#, REST APIs, SDK usage, security, deployment, monitoring, and responsible AI. AI-900 is a useful foundation, but AI-102 expects much more applied skill.