AI-102 Korean exam dumps

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  • Exam Code: AI-102 Korean
  • Exam Name: Designing and Implementing a Microsoft Azure AI Solution (AI-102 Korean Version)
  • No. of Questions: 425 Questions and Answers
  • Updated: Jul 23, 2026

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How much AI-102: Designing and Implementing an Azure AI Solution Exam Cost

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Exam AI-102: Designing and Implementing a Microsoft Azure AI Solution

Candidates for Exam AI-102: Designing and Implementing a Microsoft Azure AI Solution build, manage, and deploy AI solutions that leverage Azure Cognitive Services, Azure Cognitive Search, and Microsoft Bot Framework.

Their responsibilities include participating in all phases of AI solutions development—from requirements definition and design to development, deployment, maintenance, performance tuning, and monitoring.

They work with solution architects to translate their vision and with data scientists, data engineers, IoT specialists, and AI developers to build complete end-to-end AI solutions.

Candidates for this exam should be proficient in C# or Python and should be able to use REST-based APIs and SDKs to build computer vision, natural language processing, knowledge mining, and conversational AI solutions on Azure.

They should also understand the components that make up the Azure AI portfolio and the available data storage options. Plus, candidates need to understand and be able to apply responsible AI principles.

Part of the requirements for: Microsoft Certified: Azure AI Engineer Associate

Download exam skills outline

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

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Microsoft AI-102 Korean Exam Syllabus Topics:

SectionObjectives
Plan and Manage an Azure AI Solution- Select appropriate Azure AI services
- Manage security, compliance, and responsible AI
- Plan solution requirements and architecture
Implement Knowledge Mining and Document Intelligence- Build Azure AI Search solutions
- Implement document intelligence solutions
- Enrich and index data for search scenarios
Implement Natural Language Processing Solutions- Translate and interpret language using Azure AI services
- Analyze text using Azure AI Language
- Implement question answering and conversational AI
Implement Computer Vision Solutions- Extract information using OCR and form recognition
- Analyze images and videos using Azure AI Vision
- Implement custom vision models
Implement Generative AI Solutions- Implement Azure OpenAI Service solutions
- Integrate prompt engineering techniques
- Build retrieval-augmented generation (RAG) solutions

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