Microsoft AI-103日本語 Exam Information and Actual Questions

  • Exam Code/Number: AI-103日本語
  • Exam Name/Title: Developing AI Apps and Agents on Azure (AI-103日本語版)
  • Certification Provider: Microsoft
  • Corresponding Certification: Azure AI Engineer Associate
  • Exam Questions: 107
  • Updated On: Jul 16, 2026

AI-103日本語
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Microsoft
AI-103日本語 Exam
Developing AI Apps and Agents on Azure (AI-103日本語版)

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Microsoft AI-103日本語 Exam Overview:

Certification Vendor:Microsoft
Exam Name:Developing AI Apps and Agents on Azure
Exam Number:AI-103
Certificate Validity Period:2 years
Passing Score:700 (out of 1000)
Real Exam Qty:65-67
Exam Duration:120 minutes
Available Languages:English
Exam Price:USD $165
Related Certifications:Microsoft Certified: Azure AI Engineer Associate (AI-102, Retired June 30 2026)
Exam Format:Multiple choice single response, Multiple choice multiple response, Case study, Drag-and-drop, Performance-based items
Sample Questions:Microsoft AI-103日本語 Sample Questions
Exam Way:Online proctored remote exam / Onsite Pearson VUE testing center exam
Pre Condition:Candidates should have hands-on experience with Python, REST APIs, Azure fundamentals, generative AI and Microsoft Foundry; no mandatory prerequisite exams
Official Syllabus URL:https://learn.microsoft.com/credentials/certifications/azure-ai-apps-and-agents-developer-associate

Microsoft AI-103日本語 Exam Syllabus Topics:

SectionWeightObjectives
Implement information extraction solutions10-15%- Build knowledge-enhanced agents with Foundry IQ
  • 1. Extract structured data from unstructured documents
    Implement text and speech solutions10-15%- Integrate Azure Language and Speech services
    • 1. Develop text analysis agents
      • 2. Build speech-capable generative AI applications
        Implement generative AI and agentic solutions30-35%- Build generative AI applications
        • 1. Implement retrieval-augmented generation (RAG)
          • 2. Configure function calling and custom tool integration
            - Develop production-ready AI agents
            • 1. Design multi-step reasoning agent workflows
              • 2. Orchestrate multi-agent solutions with Microsoft Agent Framework
                Implement computer vision solutions10-15%- Process multimodal content in Foundry
                • 1. Analyze images and documents with vision models
                  Plan and manage Azure AI solutions25-30%- Design secure and compliant AI infrastructure
                  • 1. Implement responsible AI guardrails
                    • 2. Integrate Foundry projects with CI/CD pipelines
                      - Select and configure Microsoft Foundry resources
                      • 1. Configure vector search and grounding tools
                        • 2. Manage quotas, rate limits and model deployments
                          • 3. Choose appropriate LLM, multimodal and small language models


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