AI-102日本語 Exam Dumps

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Certification Provider:	Microsoft
Exam Code / Number:	AI-102J
Exam Name:	Designing and Implementing a Microsoft Azure AI Solution (AI-102日本語版)
Exam Questions:	425
Last Updated:	Jul 25, 2026
Corresponding Certification:	Azure AI Engineer Associate

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Microsoft AI-102日本語 Exam Syllabus Topics:

Topic	Details
Topic 1	Implement natural language processing solutions: This domain involves text and speech processing, including sentiment analysis, translation, speech-to-text and text-to-speech implementation, building language understanding models, and creating question answering systems.
Topic 2	Implement generative AI solutions: This domain focuses on building solutions with Microsoft Foundry and Azure OpenAI, including deploying models, implementing prompt flows and RAG patterns, generating content, and optimizing through parameter tuning and prompt engineering.
Topic 3	Implement computer vision solutions: This domain addresses image and video analysis using Azure Vision services, including object detection, text extraction, training custom vision models, and extracting insights from video streams.
Topic 4	Implement knowledge mining and information extraction solutions: This domain covers extracting structured data from unstructured sources using Azure AI Search, Document Intelligence for form processing, and Content Understanding for OCR and document analysis.
Topic 5	Plan and manage an Azure AI solution: This domain covers selecting appropriate Azure AI services for various solution types, planning and deploying resources following Responsible AI principles, managing authentication and costs, and implementing content moderation and safety controls.

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

Microsoft AI-102 Exam is an advanced-level certification that requires a deep understanding of AI technologies and their applications. Candidates are expected to have a strong grasp of AI concepts, programming languages, and data science principles. Passing AI-102J exam is a great way to demonstrate your expertise in designing and implementing AI solutions using Microsoft Azure, and it can help you advance your career in the field of AI and machine learning.

To be eligible for this certification, you should have a good understanding of Azure fundamentals, including Azure Virtual Machines, Azure Storage, and Azure Virtual Networks. You should also have experience with machine learning models, including deep learning and natural language processing. Additionally, you should have knowledge of programming languages such as Python, R, and Scala.

Becoming a Microsoft Certified: Azure AI Engineer Associate by passing the AI-102 exam shows that the candidate has the skills and knowledge required to design and implement AI solutions using Azure technologies. Designing and Implementing a Microsoft Azure AI Solution (AI-102日本語版) certification can help professionals advance their careers by demonstrating their expertise in AI and Azure technologies. Moreover, it can help organizations identify and hire skilled professionals who can design and implement AI solutions that can drive innovation and improve business outcomes.