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Download Microsoft : AI-102 Korean Questions & Answers as PDF & Test Software

Last Updated: Jul 30, 2026

No. of Questions: 425 Questions & Answers with Testing Engine

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Topics Covered

Exam AI-102 contains five topics each of which is intended to check specific skills.

1. Plan and Manage an Azure Cognitive Services Solution

This topic implies your ability to choose the suitable Cognitive Services resource, create it, plan and design security for a Cognitive Services solution, and apply Cognitive Services containers. This means that you should be competent in selecting the appropriate cognitive service for solutions that refer to language analysis, speech, decision support, and vision. You also should possess skills to operate costs of Cognitive Services, create a Cognitive Services resource, and monitor a cognitive service. This part also checks how well you can operate Cognitive Services account keys, and protect Cognitive Services. Your knowledge of using Face API, Computer Vision, Speech, Text Analysis, and ability to integrate Cognitive Services Containers in Microsoft Azure will also be assessed.

2. Implement Computer Vision Solutions

The second topic is designed to check your skills in using the Computer Vision API to get image descriptions, define landmarks, find brands, edit content in images, and create thumbnails. In this part, you are expected to be able to detect faces and recognize them in images, analyze facial features, and match similar faces with the help of the Face API. Being competent in utilizing the Custom Vision service, you should demonstrate your skills in applying image classification and implementing an object detection solution. Besides, your ability to analyze video by implementing Azure Video Analyzer for Media will be measured.

3. Implement Natural Language Processing Solutions

In the third topic, candidates are required to show their skills in analyzing text by utilizing the Text Analytics service, control speech by implementing the Speech service, translate the text with the help of the Translator service. This domain also checks your proficiency in creating and optimizing an initial language model by utilizing LUIS, and finally, managing it.

4. Implement Knowledge Mining Solutions

In this domain, you will be required to have expertise related to applying a Cognitive Search solution, which implies creating data sources, identifying an index, running an indexer, and using synonyms. This topic also aims to evaluate your ability to apply an enrichment pipeline, use a knowledge store, operate a Cognitive Search solution and indexing.

5. Implement Conversational AI Solutions

This domain will evaluate your capacity in utilizing QnA Maker to make a knowledge base, creating and implementing conversation flow, creating a bot by utilizing either the Bot Framework Composer or the Bot Framework SDK. Finally, you will need to demonstrate your skills in integrating Cognitive Services into a bot.

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

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Skills measured

  • Plan and manage an Azure Cognitive Services solution (15-20%)
  • Implement knowledge mining solutions (15-20%)
  • Implement natural language processing solutions (20-25%)
  • Implement conversational AI solutions (15-20%)
  • Implement Computer Vision solutions (20-25%)

Microsoft AI-102 Korean Exam Syllabus Topics:

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

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