Microsoft AI-102 Korean Exam Information and Actual Questions

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

AI-102 Korean
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Microsoft
AI-102 Korean Exam
Designing and Implementing a Microsoft Azure AI Solution (AI-102 Korean Version)

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Languages: English, Japanese, Chinese (Simplified), Korean

Retirement date: none

This exam measures your ability to accomplish the following technical tasks: plan and manage an Azure Cognitive Services solutions; implement Computer Vision solutions; implement natural language processing solutions; implement knowledge mining solutions; and implement conversational AI solutions.

Microsoft AI-102 Korean Exam Syllabus Topics:

TopicDetails
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
  • 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.
Topic 3
  • 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 4
  • 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.

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

Microsoft AI-102 Korean Exam Overview:

Certification Vendor:Microsoft
Exam Name:Designing and Implementing a Microsoft Azure AI Solution
Exam Number:AI-102
Exam Format:Multiple choice, Multiple response, Case studies, Drag and drop, Build/review solution scenarios
Available Languages:English, Japanese, Simplified Chinese, Korean, German, French, Spanish (Latin America), Portuguese (Brazil)
Passing Score:700 (out of 1000)
Exam Duration:100-120
Exam Price:USD 165 (varies by country/region)
Certificate Validity Period:1 year (renewable annually via Microsoft certification renewal assessment)
Related Certifications:Microsoft Certified: Azure AI Fundamentals (AI-900)
Real Exam Qty:40-60 (approximate range)
Recommended Training:Microsoft Learn AI-102 Learning Path
Azure AI Engineer Associate Study Resources
Exam Registration:Microsoft Certification Exam Registration (Pearson VUE)
Microsoft Learn AI-102 Certification Page
Sample Questions:Microsoft AI-102 Korean Sample Questions
Exam Way:Online proctored or onsite test center (Pearson VUE)
Pre Condition:No formal prerequisites required, but familiarity with Azure fundamentals and AI/ML concepts is recommended
Official Syllabus URL:https://learn.microsoft.com/en-us/credentials/certifications/azure-ai-engineer/

Microsoft AI-102 certification exam covers a wide range of topics related to AI, including natural language processing, machine learning, computer vision, and conversational AI. AI-102-KR exam also tests the candidate's ability to integrate AI solutions with other Azure services such as Azure Cognitive Services, Azure Machine Learning, and Azure Bot Service. AI-102-KR exam is intended for solution architects, developers, and data scientists who are responsible for designing and implementing AI solutions using Azure services.

Microsoft AI-102 is a certification exam that is designed to test the skills of professionals in designing and implementing AI solutions on the Microsoft Azure platform. AI-102-KR exam is targeted towards developers, data scientists, and AI engineers who have experience working with Azure technologies and want to validate their expertise in designing and implementing AI solutions.



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