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

Microsoft AI-900日本語 Actual PDF
  • Exam Code: AI-900J
  • Exam Name: Microsoft Azure AI Fundamentals (AI-900日本語版)
  • Updated: Oct 04, 2026
  • Q & A: 336 Questions and Answers
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How much AZ-900:Microsoft Azure AI Fundamentals Exam Cost

The exam cost of Microsoft Azure AI Fundamentals is 99 USD.

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

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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.

The Microsoft AI-900: Microsoft Azure AI Fundamentals exam is aimed at those professionals who want to demonstrate their knowledge of basic Machine Learning (ML) and Artificial Intelligence (AI) workloads. The test evaluates their understanding of how to implement both ML and AI on Azure. The candidates who pass this exam are eligible for the Microsoft Certified: Azure AI Fundamentals certification.

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Microsoft AI-900日本語 Exam Syllabus Topics:

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

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