Microsoft Azure AI Fundamentals (AI-900中文版) : AI-900 中文

  • Exam Code: AI-900 中文
  • Exam Name: Microsoft Azure AI Fundamentals (AI-900中文版)
  • Updated: Aug 25, 2026
  • Q & A: 336 Questions and Answers

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About Microsoft AI-900 中文 Exam

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Exam Topics

The potential candidates for this certification test must develop their skills in its topics before attempting it. It is recommended to go through the official webpage to review the detailed objectives. Microsoft updates the topics of its exams regularly, so studying the latest domains is very important to your success in the test. Thus, Microsoft AI-900 covers the following sections:

Describe AI Considerations and Workloads (15-20%)

The first topic evaluates the following skills:

  • Identify the common AI Workloads features – You should be able to identify a variety of workloads, such as forecasting/prediction, computer vision, and conversational AI. The subsection also covers the characteristics of anomaly detection workloads, knowledge mining, and natural language processing workloads.
  • Identify the guiding principles associated with responsible Artificial Intelligence – This one will evaluate the candidates’ ability to explain some concepts. These include considerations of safety and reliability in AI solutions and considerations for fairness in AI solutions. It also covers considerations for security and privacy, transparency, inclusiveness, and accountability within an AI solution.

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Skills measured

  • Describe AI workloads and considerations (15-20%)
  • Describe fundamental principles of machine learning on Azure (30-35%)
  • Describe features of Natural Language Processing (NLP) workloads on Azure (15-20%)
  • Describe features of computer vision workloads on Azure (15-20%)
  • Describe features of conversational AI workloads on Azure (15-20%)

Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/ai-900

Requisites of Microsoft AI-900 Exam

In order to take the Microsoft AI-900 exam, you must have a current Azure subscription. You also need a valid Microsoft ID. In addition, be sure to pass the following exams:

  • AZ-100: Fundamentals of Azure
  • AZ-200: Azure Fundamentals Assessment

Microsoft AI-900 中文 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Artificial Intelligence workloads and considerations15–20%- Identify types of AI workloads
- Describe responsible AI principles
- Describe considerations for developing AI solutions
Topic 2: Features of generative AI workloads on Azure20–25%- Describe use cases for generative AI
- Describe responsible AI practices for generative AI
- Describe generative AI concepts
- Describe capabilities of Azure OpenAI Service
Topic 3: Features of computer vision workloads on Azure15–20%- Describe capabilities of Azure Face
- Describe capabilities of Azure Custom Vision
- Describe capabilities of Azure Computer Vision
- Describe capabilities of Azure Form Recognizer
- Identify types of computer vision solutions
Topic 4: Features of Natural Language Processing (NLP) workloads on Azure15–20%- Describe capabilities of Azure Language
- Identify types of NLP solutions
- Describe capabilities of Azure Speech
- Describe capabilities of Azure Translator
Topic 5: Fundamental principles of machine learning on Azure15–20%- Describe capabilities of Azure Machine Learning
- Describe core concepts of machine learning
- Describe automated machine learning
- Describe machine learning pipelines

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