AI-102 Korean Exam Dumps

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Certification Provider:	Microsoft
Exam Code / Number:	AI-102-KR
Exam Name:	Designing and Implementing a Microsoft Azure AI Solution (AI-102 Korean Version)
Exam Questions:	425
Last Updated:	Sep 10, 2026
Corresponding Certification:	Azure AI Engineer Associate

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Microsoft AI-102 exam is a challenging but rewarding certification that can help professionals demonstrate their expertise in designing and implementing AI solutions on the Azure platform. Whether you're looking to advance your career, improve your skills, or stay up-to-date with the latest technologies, AI-102-KR exam is an excellent way to showcase your capabilities and stand out in the competitive AI job market.

To become certified in Microsoft AI-102, the candidate must demonstrate their ability to design and implement AI solutions using various Azure services such as Azure Cognitive Services, Azure Machine Learning, and Azure Bot Service. AI-102-KR exam consists of multiple-choice questions, case studies, and scenarios that require the candidate to apply their knowledge and skills to solve real-world problems.

To be eligible for AI-102-KR exam, candidates must have a fundamental understanding of Azure services, including Azure storage, compute, networking, and security. They should also have experience with data science concepts and machine learning models. The AI-102 exam is intended for professionals who work as AI engineers, data scientists, or developers who want to enhance their expertise in AI and Azure. Passing AI-102-KR exam validates their skills in designing and implementing end-to-end AI solutions that can leverage Azure AI services and tools.

Microsoft AI-102 Korean Exam Syllabus Topics:

Topic	Details
Topic 1	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 2	Implement an agentic solution: This domain covers creating autonomous AI agents using Microsoft Foundry Agent Service and Framework, implementing multi-agent workflows, and testing and deploying intelligent agents.
Topic 3	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 4	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