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Instant Download Microsoft : AI-901 Korean Questions & Answers as PDF & Test Engine
- Exam Code: AI-901
- Exam Name: Microsoft Azure AI Fundamentals (AI-901 Korean Version)
- Updated: Nov 05, 2026
- No. of Questions: 132 Questions and Answers
- Download Limit: Unlimited
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Microsoft AI-901 Korean Exam Syllabus Topics:
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Reference: https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/ai-901
Microsoft Azure AI Fundamentals (AI-901 Korean Version) Sample Questions:
다음 각 문장에 대해, 문장이 사실이면 '예'를 선택하고, 그렇지 않으면 '아니요'를 선택하십시오.
참고: 정답 하나당 1점입니다.
Correct Answer:
Explanation:
Statement 1: Azure Content Understanding in Foundry Tools can analyze only PDF documents. = No Azure Content Understanding is not limited to PDF documents. It can analyze different content types, including documents, forms, images, audio, and video.
Statement 2: Azure Content Understanding in Foundry Tools results are returned in the JSON format. = Yes Azure Content Understanding returns structured analysis output in JSON format.
Statement 3: Azure Content Understanding in Foundry Tools can extract structured fields from documents and forms. = Yes Azure Content Understanding can extract structured fields from documents and forms by using analyzers and schemas.
채용 결정을 지원하기 위해 AI 시스템을 도입합니다.
회사 정책에 따라 사람이 AI가 생성한 추천 사항을 검토하고 최종 채용 결정에 대한 책임을 져야 합니다.
이것은 마이크로소프트의 어떤 AI 원칙의 예시인가요?
- A. 투명성
- B. 책임성
- C. 공정성
- D. 신뢰성 및 안전성
Correct Answer: B 🗳️
문장을 올바르게 완성하는 답을 선택하세요.
Correct Answer:
Explanation:
Azure Text Analytics client library
Comprehensive and Detailed Explanation with all Azure AI documents: =
The completed sentence is:
To develop an application that analyzes text by using Azure Language in Foundry Tools, use the Azure Text Analytics client library package.
Azure AI Language text analysis features, such as sentiment analysis, named entity recognition, key phrase extraction, language detection, and text summarization, are accessed in code by using the Azure Text Analytics client library.
The other options are incorrect:
Azure AI Projects client library is used for Foundry project and agent-related workflows, not specifically Azure Language text analysis.
Azure OpenAI client library is used to call OpenAI model deployments, not Azure Language text analytics APIs.
Azure Speech SDK is used for speech-to-text and text-to-speech workloads, not text analysis.
Microsoft Foundry 프로젝트에 비전 기능이 활성화된 모델 배포가 포함되어 있습니다.
모델에게 이미지를 전송하는 애플리케이션을 개발하고 있습니다.
모델이 이미지를 분석할 수 있는지 확인해야 합니다.
이미지는 어떤 두 가지 형식으로 제공할 수 있습니까? 각 정답은 풀이의 일부를 나타냅니다.
참고: 정답 하나당 1점입니다.
- A. 이미지의 공개적으로 접근 가능한 URL
- B. 이미지 콘텐츠를 설명하는 JSON 문서
- C. 이미지에 대한 UTF-8로 인코딩된 텍스트 설명
- D. base64로 인코딩된 이미지 데이터 문자열
Correct Answer: A,D 🗳️
Explanation: Only visible for BraindumpsPass members. You can sign-up / login (it's free).
다음 각 문장에 대해, 문장이 사실이면 '예'를 선택하고, 그렇지 않으면 '아니요'를 선택하십시오.
참고: 정답 하나당 1점입니다.
Correct Answer:
Explanation:
Statement 1: Human-in-the-loop practices provide accountability for AI-generated decisions. = Yes Microsoft responsible AI guidance recommends keeping a human in the loop, maintaining human oversight, and ensuring humans have a role in decisions based on model output.
Statement 2: Deploying an AI system to a production environment eliminates the need for ongoing monitoring. = No Microsoft guidance states that after deployment, an AI-powered product or feature requires ongoing monitoring and improvement.
Statement 3: Disclosing the team that designed and deployed an AI system provides accountability for the system's output. = Yes Accountability in responsible AI means people and organizations remain responsible for AI systems and their effects. Identifying the people or team responsible for designing and deploying the system supports accountability and governance.
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