Microsoft Designing and Implementing an Azure AI Solution (AI-100日本語版) : AI-100日本語 valid dump

AI-100日本語
  • Exam Code: AI-100J
  • Exam Name: Designing and Implementing an Azure AI Solution (AI-100日本語版)
  • Updated: Sep 21, 2026
  • Q & A: 163 Questions and Answers

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Reference: https://www.microsoft.com/en-us/learning/exam-ai-100.aspx

AI-100 Exam topics

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  • Integrate AI models into solutions 25-30%
  • Design solutions 30-35%
  • Analyze solution requirements 20-25%
  • Deploy and manage solutions 20-25%

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Microsoft AI-100日本語 Exam Syllabus Topics:

SectionObjectives
Responsible AI and Monitoring- AI ethics and governance
  • 1. Model monitoring and evaluation
    • 2. Responsible AI principles
      Implement Natural Language Processing (NLP)- Text analytics solutions
      • 1. Sentiment analysis
        • 2. Key phrase extraction
          - Language understanding solutions
          • 1. Intent recognition
            • 2. Entity extraction
              Implement Knowledge Mining and Search Solutions- Azure Cognitive Search
              • 1. Skillsets and enrichment pipeline
                • 2. Indexing and querying data
                  Design AI Solutions on Azure- Select appropriate Azure AI services
                  • 1. Knowledge mining solutions
                    • 2. Azure Machine Learning integration
                      • 3. Azure Cognitive Services selection
                        - Design conversational AI solutions
                        • 1. Azure Bot Service architecture
                          • 2. Language understanding (LUIS concepts)
                            Implement Computer Vision Solutions- Image analysis and processing
                            • 1. Custom Vision training and deployment
                              • 2. Computer Vision API usage

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