Microsoft AI-102日本語 dumps - in .pdf

AI-102日本語 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: Jul 29, 2026
  • Q & A: 425 Questions and Answers
  • PDF Price: $69.99
  • Free Demo

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  • Exam Code: AI-102日本語
  • Exam Name: Designing and Implementing a Microsoft Azure AI Solution (AI-102日本語版)
  • Updated: Jul 29, 2026
  • Q & A: 425 Questions and Answers
  • PDF Version + PC Test Engine + Online Test Engine
  • Value Pack Total: $139.98  $89.99
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Microsoft AI-102日本語 dumps - Testing Engine

AI-102日本語 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: Jul 29, 2026
  • Q & A: 425 Questions and Answers
  • Software Price: $69.99
  • Testing Engine

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What is the duration, language, and format of AI-102: Designing and Implementing an Azure AI Solution Exam

  • Type of Questions: This test format is multiple choice.
  • Passing Score: 700 / 1000
  • Number of Questions: 40 to 60 questions(Since Microsoft does not publish this information, the number of exam questions may change without notice.)
  • Language: English, Japanese, Chinese (Simplified), Korean.
  • This is beta exam.
  • Length of Examination: 50 mins

For candidates that are aiming to develop their skills in building, operating, and deploying AI solutions with the help of such services as Azure Applied AI services and Azure Cognitive Services, the best variant is to pass the Microsoft AI-102 exam. This exam is all about designing and applying a Microsoft Azure AI Solution, and leads to getting the Microsoft Certified: Azure AI Engineer Associate certification.

Passing this exam implies that certified candidates are able to participate in all stages of AI solutions development from defining requirements to performance tuning and monitoring. These professionals cooperate with solution architects, as well as with data engineers and scientists, AI developers to show their vision and create comprehensive AI solutions.

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

How to book the AI-102: Designing and Implementing an Azure AI Solution Exam

These are following steps for registering the AI-102: Designing and Implementing an Azure AI Solution exam.

  • Step 1: Visit to Microsoft Learning and search for AI-102: Developing Solutions for Microsoft Azure.
  • Step 2: Sign up/Login to Pearson VUE account
  • Step 3: Select local centre based on your country, date, time and confirm with a payment method.

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Microsoft AI-102日本語 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Implement knowledge mining and information extraction solutions15-20%- Extract entities, relationships, and key phrases
- Build knowledge bases and search indexes
- Ingest and process structured/unstructured data
- Implement intelligent search and retrieval
Topic 2: Implement natural language processing solutions15-20%- Build conversational AI and chatbots
- Implement translation and summarization
- Customize and deploy NLP models
- Perform text analysis, sentiment detection, and language detection
Topic 3: Implement computer vision solutions10-15%- Integrate vision capabilities into applications
- Build and deploy custom vision models
- Process and index video content
- Analyze images and detect objects/features
- Extract text and handwriting from images
Topic 4: Implement generative AI solutions15-20%- Implement model monitoring and feedback
- Apply prompt engineering and fine-tuning
- Orchestrate multiple models and containers
- Integrate Azure OpenAI and other generative models
- Deploy and manage generative models
Topic 5: Implement an agentic solution5-10%- Test, deploy, and optimize agents
- Develop multi-agent workflows and orchestration
- Build agents with Microsoft Foundry Agent Service
- Understand agent use cases and types
Topic 6: Plan and manage an Azure AI solution20-25%- Plan solutions aligned with responsible AI principles
- Create and configure Azure AI resources
- Choose services for generative AI, computer vision, NLP, speech, information extraction, knowledge mining
- Select suitable AI models
- Select appropriate Microsoft Foundry Services
- Monitor, optimize, and secure AI solutions

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