Microsoft AI-100 Exam Details & Actual Exam Questions
- Exam Code/Number: AI-100
- Exam Name/Title: Designing and Implementing an Azure AI Solution
- Certification Provider: Microsoft
- Corresponding Certification: Azure AI Engineer Associate
- Exam Questions: 163
- Updated On: Jul,23 2026
- Certification Level: Associate
Microsoft Designing and Implementing an Azure AI Solution Exam Questions
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(19 Up Votes)Microsoft AI-100 Exam Overview:
| Certification Vendor: | Microsoft |
| Exam Name: | Designing and Implementing an Azure AI Solution |
| Exam Number: | AI-100 |
| Related Certifications: | Replaced by AI-102: Designing and Implementing a Microsoft Azure AI Solution |
| Certificate Validity Period: | 2 years from issue date |
| Exam Format: | Multiple-choice, Case studies, Drag-and-drop, Scenario-based questions |
| Exam Duration: | 150 minutes |
| Available Languages: | English, Japanese, Chinese (Simplified), Korean |
| Real Exam Qty: | 50-60 |
| Passing Score: | 700 (scaled out of 1000) |
| Exam Price: | USD 165 (varies by region) |
| Recommended Training: | AI-102 Replacement Exam Details Microsoft Learn Free Learning Paths |
| Exam Registration: | Microsoft Learn Exam Page Pearson VUE Registration |
| Sample Questions: | Microsoft AI-100 Sample Questions |
| Exam Way: | Online proctored or onsite at Pearson VUE test centers; RETIRED effective June 30, 2021 |
| Pre Condition: | No mandatory prerequisites; recommended: Azure fundamentals, C#/Python, REST APIs, basic AI/ML knowledge |
| Official Syllabus URL: | https://learn.microsoft.com/en-us/credentials/certifications/exams/ai-100/ |
Microsoft AI-100 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Analyze Solution Requirements | 25-30% | - Identify business and technical requirements - Assess security, compliance, and governance needs - Define solution performance and scalability criteria - Evaluate data storage and processing options |
| Implement and Monitor AI Solutions | 25-30% | - Deploy AI solutions to Azure infrastructure - Integrate AI models and services into applications - Configure security and access controls - Monitor performance, usage, and health - Maintain and update AI solutions |
| Design AI Solutions | 40-45% | - Design conversational AI and bot solutions - Integrate open-source and custom AI components - Design knowledge mining and search solutions - Design computer vision solutions - Design natural language processing solutions - Select appropriate Azure Cognitive Services |
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