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

AI-103日本語 Exam Dumps

Microsoft Developing AI Apps and Agents on Azure (AI-103日本語版) AI-103日本語 real exam questions and online practice test engine by FreeCram. Try AI-103日本語 exam questions for free. You can also download a free demo of the AI-103日本語 exam PDF version.

Microsoft's AI-103日本語 actual exam materials brought to you by FreeCram group of Microsoft certification experts.
View all AI-103日本語 actual exam questions & answers and explanations for free.

If you like our product, you can request full access to all the latest Microsoft Developing AI Apps and Agents on Azure (AI-103日本語版) AI-103日本語 exam premium questions.

Certification Provider: Microsoft
Exam Code / Number: AI-103-JPN
Exam Name: Developing AI Apps and Agents on Azure (AI-103日本語版)
Exam Questions: 69
Last Updated: Jul 04, 2026
Corresponding Certification: Azure AI Engineer Associate

Go To AI-103日本語 Questions

Microsoft AI-103日本語 Exam Syllabus Topics:

SectionWeightObjectives
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 information extraction solutions10-15%- Build knowledge-enhanced agents with Foundry IQ
      • 1. Extract structured data from unstructured documents
        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. Manage quotas, rate limits and model deployments
                • 2. Configure vector search and grounding tools
                  • 3. Choose appropriate LLM, multimodal and small language models
                    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. Orchestrate multi-agent solutions with Microsoft Agent Framework
                          • 2. Design multi-step reasoning agent workflows


                            0
                            0
                            0
                            10