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

"Microsoft Azure AI Fundamentals (AI-900日本語版)", also known as AI-900 exam, is a Microsoft Certification. With the complete collection of questions and answers, PrepPDF has assembled to take you through 336 Q&As to your AI-900 Exam preparation. In the AI-900 exam resources, you will cover every field and category in Microsoft Certified: Azure AI Fundamentals Certification helping to ready you for your successful Microsoft Certification.

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  • Exam Code: AI-900
  • Exam Name: Microsoft Azure AI Fundamentals (AI-900日本語版)
  • Certification Provider: Microsoft
  • Corresponding Certification: Microsoft Certified: Azure AI Fundamentals
  • Updated: Jul 28, 2026
  • No. of Questions: 336 Questions & Answers with Testing Engine
  • Download Limit: Unlimited

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Who should take the AI-900: Microsoft Azure AI Fundamentals Exam

High level of difficulty and many challenging questions. Identify the different types of AI models. AI design choosing tools. Who should take the exam? Artificial intelligence. Describe the strengths and weaknesses for artificial intelligence.

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 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.
  • 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.

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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Microsoft AI-900日本語 Exam Syllabus Topics:

SectionWeightObjectives
Describe AI workloads and considerations20-25%- Fundamentals of artificial intelligence concepts
  • 1. Responsible AI principles
    • 2. Common AI workloads
      Fundamentals of machine learning on Azure25-30%- Core machine learning concepts
      • 1. Training and validation concepts
        • 2. Supervised vs unsupervised learning
          Features of computer vision workloads on Azure15-20%- Computer vision solutions
          • 1. Image classification
            • 2. Object detection
              • 3. OCR and image analysis
                Features of natural language processing (NLP) workloads on Azure30-35%- Text analytics and language understanding
                • 1. Sentiment analysis
                  • 2. Key phrase extraction
                    • 3. Language modeling and translation

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