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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 30, 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)
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Designing and Implementing a Microsoft Azure AI Solution Exam Certification Details:

Duration130 mins
Exam NameMicrosoft Certified - Azure AI Engineer Associate
Books / TrainingCourse AI-102T00: Designing and Implementing a Microsoft Azure AI Solution
Exam Price$165 (USD)
Schedule ExamPearson VUE
Number of Questions40-60
Sample QuestionsDesigning and Implementing a Microsoft Azure AI Solution Sample Questions
Passing Score700 / 1000
Exam CodeAI-102

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

How to Prepare For AI-102: Designing and Implementing an Azure AI Solution Exam

Preparation Guide for AI-102: Designing and Implementing an Azure AI Solution Exam

Introduction

Microsoft has created a track for Azure professionals analyze the requirements for AI solutions, recommend appropriate tools and technologies, and implements solutions that meet scalability and performance requirements, to get certified this platform. solution architects translate the vision and work with data scientists, data engineers, IoT specialists, and AI developers to build complete end-to-end solutions. The assessment is based on a rigorous exam using industry standard methodology to determine whether a candidate meets Microsoft's proficiency standards.

This certification been actually designed for aspirants design and implement AI apps and agents that use Microsoft Azure Cognitive Services.

For this exam candidate having proficiency in using cognitive service APIs to meet business requirements, appropriate AI models and services, automation requirements, data privacy and protection , bot state data , cognitive service output would be an added advantage.

Certification is evidence of your skills, expertise in those areas in which you like to work. If candidate wants to work as AI solution architect and prove his knowledge, certification offered by Microsoft. This AI-102 Exam Certification helps a candidate to validates his skills in Azure platform.

In this guide, we will cover the AI-102: Designing and Implementing an Azure AI Solution Certification exam, AI-102: Designing and Implementing an Azure AI Solution Certified professional salary and all aspects of the AI-102: Designing and Implementing an Azure AI Solution Certification.

How to Register For Exam AI-102: Designing and Implementing a Microsoft Azure AI Solution?

Exam Register Link: https://examregistration.microsoft.com/?locale=en-us&examcode=AI-102&examname=Exam%20AI-102:%20Designing%20and%20Implementing%20a%20Microsoft%20Azure%20AI%20Solution&returnToLearningUrl=https%3A%2F%2Fdocs.microsoft.com%2Flearn%2Fcertifications%2Fexams%2Fai-102

Microsoft AI-102 Korean Exam Syllabus Topics:

SectionWeightObjectives
Implement Natural Language Processing Solutions20-25%- Translate text and speech
- Build question answering solutions
- Implement speech capabilities using Azure AI Speech
- Analyze text using Azure AI Language
- Create conversational AI solutions with Azure AI Bot Service
Implement Knowledge Mining and Document Intelligence Solutions15-20%- Implement Azure AI Search solutions
- Design document processing pipelines
- Create custom skills for Azure AI Search
- Implement semantic and vector search
Plan and Manage an Azure AI Solution15-20%- Select appropriate Azure AI services and technologies
- Manage AI costs and resource allocation
- Implement governance and compliance for AI solutions
- Plan and configure secure AI solutions
Implement Computer Vision Solutions15-20%- Read and process documents using Azure AI Document Intelligence
- Process video and generate insights
- Analyze images using Azure AI Vision
- Implement object detection and image classification
- Implement Azure AI Face service
Implement Generative AI Solutions10-15%- Apply responsible AI practices
- Integrate Azure OpenAI models into applications
- Use Azure OpenAI Service for generative AI
- Implement prompt engineering techniques
Implement Decision Support Solutions10-15%- Monitor and optimize decision support solutions
- Design and implement decision automation
- Integrate Azure AI services into applications

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