Microsoft AI-900 中文 Q&A - in .pdf

  • Exam Code: AI-900 中文
  • Exam Name: Microsoft Azure AI Fundamentals (AI-900中文版)
  • Updated: Jul 29, 2026
  • Q & A: 336 Questions and Answers
  • PDF Price: $69.98
  • Printable Microsoft AI-900 中文 PDF Format. It is an electronic file format regardless of the operating system platform.
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Microsoft AI-900 中文 Q&A - Testing Engine

  • Exam Code: AI-900 中文
  • Exam Name: Microsoft Azure AI Fundamentals (AI-900中文版)
  • Updated: Jul 29, 2026
  • Q & A: 336 Questions and Answers
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Studying with Revision Books

Apart from the training endorsed by the certification vendor, it’s a good idea to exhaust the study guides from Amazon. Thus, here’s what you need to know about the two must-have revision books for the Microsoft AI-900 certification exam prep:

  • Microsoft AI MVP Book: Practical Guide to Microsoft AI Written by 17 AI and Azure MVPs from all around the world

    This book is a collection of skills and knowledge from a team of AI and Azure specialists with countless years of experience in the field. It is written by Microsoft Azure MVPs including Leila Etaati, Anupama Natarajan, Ashraf Ghonaim, Cameron Vetter, David Rendon, etc. who used their cumulative years of experience to design a definitive study guide and a solution for all trainees preparing for AI-900 exam. The authors state it categorically that this book does not intend to cover everything there’s to know about Microsoft AI. And that it is important to combine it with other study materials to have a better chance of passing the Microsoft AI-900 exam. In a nutshell, this guide targets AI and ML developers, architects, data scientists, .net developers, and consultants who are already familiar with the foundational AI concepts. Remember it is not your best guide if you are starting from a zero, but an excellent choice if you are already familiar with most of the concepts in this field.

  • Azure AI Fundamentals: Study Guide and Practice Exam for Microsoft AI-900 Exam

    This guide by David Voss is based on the current test curriculum and targets trainees looking to gain foundational knowledge of the AI solutions and services on Azure. It comprises practice test questions and explanations that are consistent with Microsoft’s online learning tools. So, if you want to prepare with confidence and pass your exam easily, get your Kindle copy today from Amazon for only around $12.

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

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

About Azure AI Fundamentals Certification and Who It Is Intended for

The Microsoft Certified: Azure AI Fundamentals qualification authenticates the learner's understanding and skills in AI & ML concepts along with associated Azure services. In particular, the individual with this certification is competent in demonstrating their understanding of various workloads related to those terms along with their implementation in Azure cloud computing services. In addition, this certification is an excellent way to get a step ahead in the preparation for other role-based Azure certificates as well as showcasing one's skill in the fundamentals of ML as well as AI. All in all, the Azure AI Fundamentals validation form Microsoft is for beginners and thus, doesn't require any technical knowledge and expertise like, for example, engineering for software. However, some understanding of programming will help you a lot to easily nail test AI-900.

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Microsoft AI-900 中文 Exam Syllabus Topics:
SectionWeightObjectives
Describe features of Generative AI workloads on Azure15-20%- Identify responsible AI considerations for generative AI
- Describe Azure OpenAI Service capabilities
- Describe generative AI concepts
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
Describe features of computer vision workloads on Azure15-20%- Describe Azure capabilities for computer vision
- Identify common computer vision tasks
- Identify Azure AI services for computer vision
Describe fundamental principles of machine learning on Azure30-35%- Describe features of no-code automated ML
- Describe Azure Machine Learning capabilities
- Identify common machine learning tasks
- Describe core machine learning concepts
Describe AI workloads and considerations15-20%- Identify features of common AI workloads
- Identify guiding principles for responsible AI

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