AI-100日本語 Exam Dumps

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Certification Provider:	Microsoft
Exam Code / Number:	AI-100J
Exam Name:	Designing and Implementing an Azure AI Solution (AI-100日本語版)
Exam Questions:	163
Last Updated:	Jun 22, 2026
Corresponding Certification:	Azure AI Engineer Associate

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Microsoft AI-100 exam is a comprehensive exam that covers various aspects of AI development on the Azure platform. It is ideal for professionals who want to showcase their expertise in designing and implementing AI solutions on the Azure platform and is a valuable certification for professionals looking to advance their careers in this field.

The AI-100 exam is intended for individuals who are responsible for designing and implementing AI solutions using Microsoft technologies. This includes AI engineers, data scientists, solution architects, and developers who have a solid understanding of Azure and are interested in implementing artificial intelligence solutions using Azure. AI-100J exam covers various topics such as creating intelligent bots, language understanding, speech recognition, text analysis, and image and video analysis. AI-100J exam also assesses the candidate's ability to manage and deploy AI solutions, including monitoring and troubleshooting techniques. Passing the AI-100 exam will certify that the individual has the skills and knowledge necessary to design, implement and manage Azure AI solutions.

Skills measured

Implement and monitor AI solutions (25-30%)
Design AI solutions (40-45%)
Analyze solution requirements (25-30%)

Microsoft AI-100日本語 Exam Syllabus Topics:

Topic	Details
Topic 1	Identify Differences Between Kpis And Reported Metrics And Determine Root Causes For Differences
Topic 2	Map Security Requirements To Tools, Technologies, And Processes Determine Which Users And Groups Have Access To Information And Interfaces
Topic 3	Recommend Tools, Technologies, And Processes To Meet Process Flow Requirements Identify Components And Technologies Required To Connect Service Endpoints
Topic 4	Integrate AI Services With Solution Components Set Up Prerequisite Components And Input Datasets To Allow Consumption Of Cognitive Services Apis
Topic 5	Validate Solutions To Ensure Compliance With Data Privacy And Security Requirements Monitor And Evaluate The AI Environment
Topic 6	Analyze Solution Requirements Identify Storage Solutions
Topic 7	Design An AI Solution That Includes One Or More Pipelines Design The Compute Infrastructure To Support A Solution
Topic 8	Design Intelligent Edge Solutions Design Data Governance Design Solutions That Adhere To Cost Constraints
Topic 9	Identify Appropriate Tools For A Solution Identify Auditing Requirements

Reference: https://www.microsoft.com/en-us/learning/exam-ai-100.aspx