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Microsoft AI-102 Korean valid exam - in .pdf Free Demo

  • Exam Code: AI-102-KR
  • Exam Name: Designing and Implementing a Microsoft Azure AI Solution (AI-102 Korean Version)
  • Last Updated: Sep 15, 2026
  • Q & A: 425 Questions and Answers
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  • Exam Code: AI-102-KR
  • Exam Name: Designing and Implementing a Microsoft Azure AI Solution (AI-102 Korean Version)
  • Last Updated: Sep 15, 2026
  • Q & A: 425 Questions and Answers
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To pass AI-102-KR exam, the candidate needs to have a deep understanding of AI and machine learning concepts, as well as knowledge of various Azure services and tools that are used for implementing AI solutions. The candidate should also be familiar with programming languages such as Python and R, as well as various machine learning frameworks such as TensorFlow and PyTorch.

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

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.

The AI-102 certification exam is an advanced-level certification that requires a deep understanding of Microsoft Azure and AI technologies. Candidates who pass AI-102-KR exam will be able to demonstrate their expertise in designing and implementing AI solutions using Microsoft Azure. They will also be able to use their knowledge to help organizations leverage AI technologies to improve their business processes and gain a competitive edge in the market.

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Microsoft AI-102 exam covers various topics related to designing and implementing AI solutions, such as data preparation, machine learning models, natural language processing, computer vision, and conversational AI. It also includes topics related to deploying and managing AI solutions on the Azure platform. AI-102-KR exam consists of both multiple-choice and lab-based questions, and candidates are required to demonstrate their practical skills in designing and implementing AI solutions on Azure. Passing AI-102-KR exam requires a deep understanding of Azure AI services and the ability to design and implement AI solutions to solve real-world business problems.

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Microsoft AI-102 Korean Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Implement natural language processing solutions15-20%- Implement translation and summarization
- Customize and deploy NLP models
- Build conversational AI and chatbots
- Perform text analysis, sentiment detection, and language detection
Topic 2: Implement knowledge mining and information extraction solutions15-20%- Extract entities, relationships, and key phrases
- Ingest and process structured/unstructured data
- Implement intelligent search and retrieval
- Build knowledge bases and search indexes
Topic 3: Implement generative AI solutions15-20%- Integrate Azure OpenAI and other generative models
- Apply prompt engineering and fine-tuning
- Implement model monitoring and feedback
- Deploy and manage generative models
- Orchestrate multiple models and containers
Topic 4: Implement an agentic solution5-10%- Test, deploy, and optimize agents
- Build agents with Microsoft Foundry Agent Service
- Develop multi-agent workflows and orchestration
- Understand agent use cases and types
Topic 5: Plan and manage an Azure AI solution20-25%- Monitor, optimize, and secure AI solutions
- Plan solutions aligned with responsible AI principles
- Select suitable AI models
- Choose services for generative AI, computer vision, NLP, speech, information extraction, knowledge mining
- Create and configure Azure AI resources
- Select appropriate Microsoft Foundry Services
Topic 6: Implement computer vision solutions10-15%- Extract text and handwriting from images
- Process and index video content
- Analyze images and detect objects/features
- Integrate vision capabilities into applications
- Build and deploy custom vision models

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