Practice Exam AI-102: Designing and Implementing a Microsoft Azure AI Solution
Exam Syllabus & Topic Breakdown
What you'll be tested on — topics, subtopics and their weight in the exam.
▶
Plan and Manage an Azure AI Solution (20–25%)
18%
Select the Appropriate Microsoft Foundry Services
3%
Plan, Create and Deploy a Microsoft Foundry Service
4%
Manage, Monitor, and Secure a Microsoft Foundry Service
6%
Implement AI Solutions Responsibly
5%
▶
Implement Generative AI Solutions (15–20%)
18%
Build Generative AI Solutions with Microsoft Foundry
6%
Use Azure OpenAI in Foundry Models to Generate Content
6%
Optimize and Operationalize a Generative AI Solution
6%
▶
Implement an Agentic Solution (5–10%)
13%
Create Custom Agents
13%
▶
Implement Computer Vision Solutions (10–15%)
15%
Analyze Images
7%
Implement Custom Vision Models
5%
Analyze Videos
2%
▶
Implement Natural Language Processing Solutions (15–20%)
17%
Analyze and Translate Text
5%
Process and Translate Speech
5%
Implement Custom Language Models
7%
▶
Implement Knowledge Mining and Information Extraction Solutions (15–20%)
19%
Implement an Azure AI Search Solution
12%
Implement an Azure Document Intelligence in Foundry Tools Solution
6%
Extract Information with Azure Content Understanding in Foundry Tools
1%
More Practice Papers
About Course
Prepare for the Microsoft Certified: Azure AI Engineer Associate certification with this comprehensive practice exam built from the official Microsoft Learn syllabus (updated December 2025).
What You Get:
- 700+ practice questions in a randomized pool — every attempt is unique
- 50 questions per attempt, randomly selected with proper section weightage
- 100-minute timer matching the real AI-102 exam
- 6 question types: MCQ, Multi-Select, True/False, Fill in the Blank, Ordering, and Matching
- Detailed performance report showing score by section, strengths, and areas to improve
- Explanations & hints for every question
How the Report Works:
- Overall score and pass/fail (70% threshold matching Microsoft’s 700/1000)
- Section-wise performance across all 6 domains
- Topic-level drill-down within each section
- Question-by-question review with correct answers and explanations
Sections covered with the 6 official weightage bands (Plan & Manage 20–25%, Generative AI 15–20%, Agentic 5–10%, Vision 10–15%, NLP 15–20%, Knowledge Mining 15–20%).
Course Content
Practice Paper
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AI-102: Azure AI Engineer Associate – Practice Exam