Exam Name: Designing and Implementing a Microsoft Azure AI Solution (AI-102 Korean Version)
Certification Provider: Microsoft
Corresponding Certification: Azure AI Engineer Associate
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Microsoft AI-102 Korean Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Implement natural language processing solutions | 15-20% | - Perform text analysis, sentiment detection, and language detection - Customize and deploy NLP models - Build conversational AI and chatbots - Implement translation and summarization |
| Topic 2: Implement generative AI solutions | 15-20% | - Orchestrate multiple models and containers - Apply prompt engineering and fine-tuning - Integrate Azure OpenAI and other generative models - Deploy and manage generative models - Implement model monitoring and feedback |
| Topic 3: Implement knowledge mining and information extraction solutions | 15-20% | - Ingest and process structured/unstructured data - Implement intelligent search and retrieval - Build knowledge bases and search indexes - Extract entities, relationships, and key phrases |
| Topic 4: Implement an agentic solution | 5-10% | - Develop multi-agent workflows and orchestration - Build agents with Microsoft Foundry Agent Service - Understand agent use cases and types - Test, deploy, and optimize agents |
| Topic 5: Implement computer vision solutions | 10-15% | - Integrate vision capabilities into applications - Process and index video content - Extract text and handwriting from images - Analyze images and detect objects/features - Build and deploy custom vision models |
| Topic 6: Plan and manage an Azure AI solution | 20-25% | - Create and configure Azure AI resources - Select suitable AI models - Monitor, optimize, and secure AI solutions - Plan solutions aligned with responsible AI principles - Select appropriate Microsoft Foundry Services - Choose services for generative AI, computer vision, NLP, speech, information extraction, knowledge mining |
Your Microsoft Designing and Implementing a Microsoft Azure AI Solution (AI-102 Korean Version) Questions, Answered
- Implement natural language processing solutions (15-20%)
- Plan and manage an Azure AI solution (20-25%)
- Implement computer vision solutions (10-15%)
Microsoft Designing and Implementing a Microsoft Azure AI Solution (AI-102 Korean Version) Sample Questions:
Search1이라는 Azure Al Search 리소스가 있습니다.
Search1을 사용하여 콘텐츠를 인덱싱하는 App1이라는 앱이 있습니다.
Search1을 사용하여 앱이 송장에서 속성을 인식하고 검색할 수 있도록 App1에 사용자 지정 스킬을 추가해야 합니다.
솔루션에 무엇을 포함해야 합니까?
- A. Azure 사용자 지정 비전
- B. Azure AI 문서 인텔리전스
- C. Azure Al 몰입형 리더
- D. Azure OpenAI
Correct Answer: B 🗳️
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다음 각 문장에 대해, 문장이 사실이라면 '예'를 선택하세요. 그렇지 않으면 '아니요'를 선택하세요.
참고: 정답 하나당 1점입니다.
Correct Answer:
Explanation:
Platform as a service (PaaS) database offerings in Azure require less setup and configuration effort than Infrastructure as a Service (IaaS) database offerings.
Yes
PaaS abstracts away the OS, patching, backups, and much of the infrastructure management. IaaS requires users to configure and manage VMs and databases manually.
Platform as a service (PaaS) database offerings in Azure provide end users with the ability to control and update the operating system version.
No
In PaaS, the OS and platform management are handled by Azure. Users cannot directly control or update the OS version. This is a responsibility difference between IaaS and PaaS.
All relational and non-relational platform as a service (PaaS) database offerings in Azure can be paused to reduce costs.
No
Not all PaaS database services support pausing. For example, Azure SQL Database serverless can auto-pause, but Azure Cosmos DB and provisioned SQL databases cannot. Hence this statement is incorrect.
Correct Responses:
Yes
No
No
Microsoft References
Azure SQL Database - PaaS overview
What is PaaS?
Serverless compute tier in Azure SQL Database (auto-pause)
Azure Al Translator 서비스를 사용하여 번역을 수행하는 앱을 빌드하고 있습니다.
앱이 사용자가 입력한 텍스트를 번역할 수 있는지 확인해야 합니다.
코드는 어떻게 작성해야 하나요? 답변하려면 답변 영역에서 적절한 옵션을 선택하세요.
참고: 정답 하나당 1점입니다.
Correct Answer:
Explanation:
In the Azure AI Translator .NET SDK ( Azure.AI.Translation.Text ), the TextTranslationClient exposes TranslateAsync overloads that accept a target language (e.g., " fr " ) and an input string to translate. The call returns a Response < IReadOnlyList < TranslatedTextItem > > . Each TranslatedTextItem includes the automatically detected source language ( DetectedLanguage.Language ) and a collection of translations in Translations . To print the translated text for the first target language, read translation.Translations[0].Text .
Therefore:
Use TranslateAsync(targetLanguage, input) to perform the translation.
Output translation.Translations[0].Text to display the translated result.
Microsoft References
TextTranslationClient.TranslateAsync method (overloads, usage). Microsoft Learn TextTranslationClient class overview. Microsoft Learn TranslatedTextItem model and Translations property (array of translation results).
Quickstart: Translator text client libraries (end-to-end usage pattern). Microsoft Learn
텍스트 기반 챗봇이 있습니다.
Content Moderator의 텍스트 조정 API를 사용하여 콘텐츠 조정을 활성화해야 합니다. 어떤 두 가지 서비스 응답을 사용해야 할까요? 각 정답은 해결책의 일부를 나타냅니다. 참고: 정답 하나당 1점입니다.
- A. 광학 문자 인식(OCR)
- B. 성인 분류 점수
- C. 경주 분류 점수
- D. 텍스트 분류
- E. 개인정보
Correct Answer: B,C 🗳️
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Azure Cognitive Search를 사용하여 지식베이스를 개발하고 있습니다.
기술적 요구 사항을 충족하려면 위키 콘텐츠를 처리해야 합니다.
솔루션에 무엇을 포함해야 합니까?
- A. 언어 감지 기술을 포함하는 기술 세트에 연결된 Azure Blob 저장소용 인덱서
- B. 문서 추출 기술과 텍스트 번역 기술을 포함하는 기술 세트에 연결된 Azure Cosmos DB용 인덱서
- C. 언어 감지 기술과 텍스트 번역 기술을 포함하는 기술 세트에 연결된 Azure Cosmos DB용 인덱서
- D. 언어 감지 기술과 텍스트 번역 기술을 포함하는 기술 세트에 연결된 Azure Blob 저장소용 인덱서
Correct Answer: B 🗳️
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