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Microsoft AI-102日本語 exam : Designing and Implementing a Microsoft Azure AI Solution (AI-102日本語版)

AI-102日本語 Exam Questions
  • Exam Code: AI-102J
  • Exam Name: Designing and Implementing a Microsoft Azure AI Solution (AI-102日本語版)
  • Updated: Sep 16, 2026
  • Q & A: 425 Questions and Answers
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How much AI-102: Designing and Implementing an Azure AI Solution Exam Cost

The price of the Microsoft Mobility and Devices Fundamentals exam is $165 USD, for more information related to exam price please visit to Microsoft Training website as prices of Microsoft exams fees get varied country wise.

Prep Options to Choose

The preparation process for the exam is a vital step on your way of passing the test, that’s why you need to find the most actual and reliable resources. Microsoft offers two options for you to choose from online free training or instructor-led, which is a paid one. For example, the free training represents a collection of learning paths each of which contains the different number of modules, from one to five. Thus, you can choose which ones to follow: Prepare for AI engineering (1 module), Process and Translate Speech with Azure Cognitive Speech Services (2 modules), Create computer vision solutions with Azure Cognitive Services (3 modules), to name a few. The paid course is known to be Course AI-102T00: Designing and Implementing a Microsoft Azure AI Solution and lasts for 4 days. It is intended for software developers interested in developing skills to build AI infused apps that use Azure Cognitive Search and Services, and Microsoft Bot Framework.

In addition, you can check the Amazon website to find the books on the topics included in the exam to ace it from the first attempt. Only after the successful passing the AI-102 exam you will earn the Microsoft Certified: Azure AI Engineer Associate certification. So, good luck!

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Prerequisites

Before enrolling in the process of taking the AI-102 exams, candidates should be skilled in implementing Python and C#, using APIs and SDKs based on REST to create natural language processing solutions, computer vision solutions, and knowledge mining and communicative AI solutions based on Azure. In addition, such specialists should be knowledgeable of the elements that create the Azure AI portfolio as well as the data storage options. To add more, they should be able to implement AI principles appropriately.

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

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Microsoft AI-102日本語 Exam Syllabus Topics:

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

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