Microsoft AI-900日本語 Exam Details & Actual Exam Questions

  • Exam Code/Number: AI-900日本語
  • Exam Name/Title: Microsoft Azure AI Fundamentals (AI-900日本語版)
  • Certification Provider: Microsoft
  • Corresponding Certification: Microsoft Certified: Azure AI Fundamentals
  • Exam Questions: 336
  • Updated On: Jul,27 2026
  • Certification Level: Fundamentals

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

View AI-900日本語 actual exam questions, answers and explanations for free.

users 93% student found the test questions almost same

All the information you need to pass Microsoft Azure AI Fundamentals (AI-900日本語版) AI-900日本語 exam and free practice exam verified by EduDump exam experts.

Said the test questions were almost same
Passed the exams with the material
Found the study quides effective and helpful

Microsoft AI-900日本語 Exam Overview:

Certification Vendor:Microsoft
Exam Name:Microsoft Azure AI Fundamentals
Exam Number:AI-900
Related Certifications:Microsoft Azure Data Fundamentals
Microsoft Azure Fundamentals
Microsoft Azure AI Engineer Associate
Exam Duration:85 minutes
Exam Price:USD 99 (varies by region)
Exam Format:Multiple choice, Multiple response, Drag and drop, Case studies
Available Languages:English, Japanese, Chinese (Simplified), Korean, German, French, Spanish, Portuguese (Brazil)
Real Exam Qty:40-60
Passing Score:700/1000
Certificate Validity Period:Does not expire (Fundamentals certification)
Recommended Training:Microsoft Learn AI-900 Learning Path
Azure AI Fundamentals Practice Modules
Exam Registration:Pearson VUE Exam Registration
Official Microsoft Certification Page
Sample Questions:Microsoft AI-900日本語 Sample Questions
Exam Way:Online proctored exam or in-person test center
Pre Condition:No formal prerequisites required; basic understanding of cloud and AI concepts recommended
Official Syllabus URL:https://learn.microsoft.com/en-us/credentials/certifications/azure-ai-fundamentals/

Microsoft AI-900日本語 Exam Syllabus Topics:

SectionWeightObjectives
Features of computer vision workloads on Azure15-20%- Computer vision solutions
  • 1. Image classification
    • 2. OCR and image analysis
      • 3. Object detection
        Features of natural language processing (NLP) workloads on Azure30-35%- Text analytics and language understanding
        • 1. Key phrase extraction
          • 2. Sentiment analysis
            • 3. Language modeling and translation
              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. Supervised vs unsupervised learning
                    • 2. Training and validation concepts


                      0
                      0
                      0
                      10