Microsoft AI-102日本語 Q&A - in .pdf

  • Exam Code: AI-102日本語
  • Exam Name: Designing and Implementing a Microsoft Azure AI Solution (AI-102日本語版)
  • Updated: Aug 09, 2026
  • Q & A: 425 Questions and Answers
  • PDF Price: $69.99
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Microsoft AI-102日本語 Q&A - Testing Engine

  • Exam Code: AI-102日本語
  • Exam Name: Designing and Implementing a Microsoft Azure AI Solution (AI-102日本語版)
  • Updated: Aug 09, 2026
  • Q & A: 425 Questions and Answers
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AI-102日本語 exam dumps

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Languages: English, Japanese, Chinese (Simplified), Korean

Retirement date: none

This exam measures your ability to accomplish the following technical tasks: plan and manage an Azure Cognitive Services solutions; implement Computer Vision solutions; implement natural language processing solutions; implement knowledge mining solutions; and implement conversational AI solutions.

Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/ai-102

Introduction to AI-102: Designing and Implementing an Azure AI Solution Exam

Candidates for AI-102 Exam are seeking to prove fundamental knowledge and skills in Designing and Implementing an Azure AI Solution domain. Before taking this exam, aspirants ought to have a solid fundamental information of the concepts shared in preparation guide as well as basic understanding of Azure administration, Azure development, and DevOpss would give an added edge.

This exam validates the ability to use the various services within the Microsoft Azure Artificial Intelligence (AI) portfolio.

It is suggested that professionals accustomed to the ideas and also the technologies represented here by taking relevant training courses. Candidates are expected to have some hands-on experience on bot services that use Language Understanding , bots with Azure Application Insights, creating a GPU, FPGA, or CPU-based solution, implementing AI workflow.

After passing this exam, candidates get a certificate from Microsoft that helps them to demonstrate their proficiency to their clients and employers.

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Microsoft AI-102日本語 Exam Syllabus Topics:

SectionWeightObjectives
Implement computer vision solutions10-15%- Process and index video content
- Build and deploy custom vision models
- Extract text and handwriting from images
- Integrate vision capabilities into applications
- Analyze images and detect objects/features
Implement an agentic solution5-10%- Understand agent use cases and types
- Test, deploy, and optimize agents
- Develop multi-agent workflows and orchestration
- Build agents with Microsoft Foundry Agent Service
Implement generative AI solutions15-20%- Integrate Azure OpenAI and other generative models
- Implement model monitoring and feedback
- Deploy and manage generative models
- Orchestrate multiple models and containers
- Apply prompt engineering and fine-tuning
Implement knowledge mining and information extraction solutions15-20%- Extract entities, relationships, and key phrases
- Ingest and process structured/unstructured data
- Implement intelligent search and retrieval
- Build knowledge bases and search indexes
Plan and manage an Azure AI solution20-25%- Monitor, optimize, and secure AI solutions
- Select appropriate Microsoft Foundry Services
- Create and configure Azure AI resources
- Plan solutions aligned with responsible AI principles
- Select suitable AI models
- Choose services for generative AI, computer vision, NLP, speech, information extraction, knowledge mining
Implement natural language processing solutions15-20%- Customize and deploy NLP models
- Perform text analysis, sentiment detection, and language detection
- Implement translation and summarization
- Build conversational AI and chatbots

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