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Microsoft AI-102 (Designing and Implementing a Microsoft Azure AI Solution) Certification Exam is designed for professionals who want to demonstrate their expertise in designing and implementing AI solutions using Microsoft Azure. Designing and Implementing a Microsoft Azure AI Solution (AI-102 Korean Version) certification exam measures the skills and knowledge required to create intelligent applications and services that use machine learning and cognitive services. Candidates who pass AI-102-KR exam will earn the Microsoft Certified: Azure AI Engineer Associate certification.
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/ai-102
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Who should take the AI-102: Designing and Implementing an Azure AI Solution Exam
The AI-102 Exam certification is an internationally-recognized certification which help to have validation for Azure AI Solution Architects who have ability to accomplish the following technical tasks: analyze solution requirements; design solutions; integrate AI models into solutions; and deploy and manage solutions.
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Microsoft AI-102 Korean Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Implement Computer Vision Solutions | 15-20% | - Implement Azure AI Face service - Read and process documents using Azure AI Document Intelligence - Implement object detection and image classification - Process video and generate insights - Analyze images using Azure AI Vision |
| Implement Decision Support Solutions | 10-15% | - Monitor and optimize decision support solutions - Design and implement decision automation - Integrate Azure AI services into applications |
| Implement Knowledge Mining and Document Intelligence Solutions | 15-20% | - Implement semantic and vector search - Create custom skills for Azure AI Search - Design document processing pipelines - Implement Azure AI Search solutions |
| Plan and Manage an Azure AI Solution | 15-20% | - Select appropriate Azure AI services and technologies - Implement governance and compliance for AI solutions - Plan and configure secure AI solutions - Manage AI costs and resource allocation |
| Implement Generative AI Solutions | 10-15% | - Implement prompt engineering techniques - Apply responsible AI practices - Integrate Azure OpenAI models into applications - Use Azure OpenAI Service for generative AI |
| Implement Natural Language Processing Solutions | 20-25% | - Translate text and speech - Analyze text using Azure AI Language - Implement speech capabilities using Azure AI Speech - Create conversational AI solutions with Azure AI Bot Service - Build question answering solutions |
