Microsoft Azure AI Fundamentals (AI-900日本語版) : AI-900日本語

  • Exam Code: AI-900日本語
  • Exam Name: Microsoft Azure AI Fundamentals (AI-900日本語版)
  • Updated: Aug 24, 2026   Q&As: 336 Questions and Answers
  • Q & A: 336 Questions and Answers

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About Microsoft Azure AI Fundamentals (AI-900日本語版) : AI-900日本語 Exam

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.

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

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Certification Topics of Microsoft AI-900 Exam

Our Microsoft AI-900 exam dumps covers the following objectives of Microsoft AI-900 Exam.

  • 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%)
  • Describe AI workloads and considerations (15-20%)

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Explain Conversational Artificial Intelligence Workloads Features on Azure (15-20%)

In the last section, you will face with the following subtopics:

  • Identify the basic use cases for Conversational Artificial Intelligence (AI) – The students should be able to identify the features and usage for a range of elements. These include personal digital assistants, webchat bots, and telephone voice menus. It also covers the skills in identifying the basic features of conversational Artificial Intelligence solutions.
  • Establish Azure services for Conversational Artificial Intelligence – The potential candidates for the Microsoft AI-900 exam should have the capacity to identify the capabilities of Azure Bot Service and QnA Maker service.
Microsoft AI-900日本語 Exam Syllabus Topics:
SectionWeightObjectives
Describe features of Generative AI workloads on Azure15-20%- Describe Azure OpenAI Service capabilities
- Describe generative AI concepts
- Identify responsible AI considerations for generative AI
Describe features of computer vision workloads on Azure15-20%- Identify common computer vision tasks
- Describe Azure capabilities for computer vision
- Identify Azure AI services for computer vision
Describe features of Natural Language Processing (NLP) workloads on Azure15-20%- Describe Azure capabilities for NLP
- Identify common NLP tasks
- Identify Azure AI services for NLP
Describe fundamental principles of machine learning on Azure30-35%- Describe core machine learning concepts
- Describe features of no-code automated ML
- Describe Azure Machine Learning capabilities
- Identify common machine learning tasks
Describe AI workloads and considerations15-20%- Identify features of common AI workloads
- Identify guiding principles for responsible AI

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