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

AI-900日本語 testking pdf

Exam Code: AI-900J

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

Updated: Jul 24, 2026

Q & A: 336 Questions and Answers

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About Microsoft AI-900日本語 Exam

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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.

For more info read reference:

Microsoft AI-900 Official Certification Learning Site

Training and Certification Guide

Exam policies and FAQs

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

Introducing Updated Microsoft Certified: Azure AI Fundamentals Designation

This certificate is an opportunity for candidates to showcase their mastery of the Machine Learning (ML) and Artificial Intelligence (AI) workloads and their implementation of Azure services. For that reason, AI-900 exam can be taken by all candidates from technical and non-technical fields. While software engineering and data science skills may not be required for such an evaluation, it is important to have general programming knowledge to stand a chance of cracking this test right away. By and large, the updated Microsoft Certified: Azure AI Fundamentals designation can help you advance your career growth by preparing you for advanced Azure role-based certifications including the Microsoft Certified: Azure AI Engineer Associate and the Microsoft Certified: Azure Data Scientist Associate certificates.

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Microsoft AI-900日本語 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Describe AI workloads and considerations20-25%- Fundamentals of artificial intelligence concepts
  • 1. Common AI workloads
    • 2. Responsible AI principles
      Topic 2: Fundamentals of machine learning on Azure25-30%- Core machine learning concepts
      • 1. Supervised vs unsupervised learning
        • 2. Training and validation concepts
          Topic 3: Features of natural language processing (NLP) workloads on Azure30-35%- Text analytics and language understanding
          • 1. Sentiment analysis
            • 2. Language modeling and translation
              • 3. Key phrase extraction
                Topic 4: Features of computer vision workloads on Azure15-20%- Computer vision solutions
                • 1. Object detection
                  • 2. Image classification
                    • 3. OCR and image analysis

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