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

AI-900 中文 real exams

Exam Code: AI-900-CN

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

Updated: Jul 21, 2026

Q & A: 336 Questions and Answers

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Prerequisites

This certification test has no official prerequisites. However, the interested candidates must develop their skills and knowledge in the domains of the exam topics. Although the individuals do not need this test to pursue more advanced Azure role-based options, they can gain extensive expertise while preparing for this exam. Your knowledge base can contribute to the success of more advanced certificates such as Microsoft Certified: Azure AI Engineer Associate or Microsoft Certified: Azure Data Scientist Associate.

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How to Register For Exam AI-900: Microsoft Azure AI Fundamentals?

Exam Register Link: https://examregistration.microsoft.com/?locale=en-us&examcode=AI-900&examname=Exam%20AI-900:%20Microsoft%20Azure%20AI%20Fundamentals&returnToLearningUrl=https%3A%2F%2Fdocs.microsoft.com%2Flearn%2Fcertifications%2Fexams%2Fai-900

Difficulty in Attempting AI-900: Microsoft Azure AI Fundamentals Exam

Exam difficulty is not difficult and the material available in the Microsoft Learning website is sufficient to pass the exam easily with high score. The learning method needs to be fast. Otherwise, the score will not be high. The preparation material, including pre-exam certification, are used for time management. Use the exam simulator for practice. Performance requirements are quick response time. Translation of the data is required for this purpose. Updated and reliable information about the exam is required for this purpose. Real data is used for testing and certification. Engineering requirements are varied. Shopping website is used to buy the bag for this purpose. Microsoft AI-900 exam dumps are used in the exam. Relevant terminology used in AI-900:Microsoft Azure AI Fundamentals Exam is explained below. Metrics are used for this purpose. One of the metrics is accuracy. Basic tasks are performed for this purpose. Real-time analytics is used for this purpose. The architecture is required for the Microsoft Azure AI Fundamentals Exam.

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

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Microsoft AI-900 中文 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Describe features of Natural Language Processing (NLP) workloads on Azure15-20%- Identify Azure AI services for NLP
- Describe Azure capabilities for NLP
- Identify common NLP tasks
Topic 2: Describe AI workloads and considerations15-20%- Identify guiding principles for responsible AI
- Identify features of common AI workloads
Topic 3: Describe fundamental principles of machine learning on Azure30-35%- Describe Azure Machine Learning capabilities
- Describe core machine learning concepts
- Describe features of no-code automated ML
- Identify common machine learning tasks
Topic 4: Describe features of computer vision workloads on Azure15-20%- Identify Azure AI services for computer vision
- Describe Azure capabilities for computer vision
- Identify common computer vision tasks
Topic 5: Describe features of Generative AI workloads on Azure15-20%- Identify responsible AI considerations for generative AI
- Describe generative AI concepts
- Describe Azure OpenAI Service capabilities

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