Microsoft AI-900 中文 - Microsoft Azure AI Fundamentals (AI-900中文版)
- Exam Code: AI-900-CN
- Exam Name: Microsoft Azure AI Fundamentals (AI-900中文版)
- Updated: Aug 04, 2026
- Q & A: 336 Questions and Answers
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Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/ai-900
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Features of Natural Language Processing (NLP) workloads on Azure | 15–20% | - Describe capabilities of Azure Translator - Describe capabilities of Azure Speech - Identify types of NLP solutions - Describe capabilities of Azure Language |
| Topic 2: Fundamental principles of machine learning on Azure | 15–20% | - Describe machine learning pipelines - Describe core concepts of machine learning - Describe capabilities of Azure Machine Learning - Describe automated machine learning |
| Topic 3: Features of generative AI workloads on Azure | 20–25% | - Describe capabilities of Azure OpenAI Service - Describe responsible AI practices for generative AI - Describe generative AI concepts - Describe use cases for generative AI |
| Topic 4: Artificial Intelligence workloads and considerations | 15–20% | - Identify types of AI workloads - Describe responsible AI principles - Describe considerations for developing AI solutions |
| Topic 5: Features of computer vision workloads on Azure | 15–20% | - Identify types of computer vision solutions - Describe capabilities of Azure Form Recognizer - Describe capabilities of Azure Face - Describe capabilities of Azure Custom Vision - Describe capabilities of Azure Computer Vision |
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