Exam Name: Microsoft Azure AI Fundamentals (AI-901 Korean Version)
Certification Provider: Microsoft
Corresponding Certification: Microsoft Certified: Azure AI Fundamentals
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Instant Download AI-901 Korean Exam Dumps : Microsoft Azure AI Fundamentals (AI-901 Korean Version)
Updated: Oct 28, 2026
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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:
Microsoft Foundry 프로젝트에 생성형 AI 모델 배포가 포함되어 있습니다.
Foundry 플레이그라운드를 사용하여 모델을 테스트할 수 있습니다.
배포된 모델에 요청을 보내는 애플리케이션을 개발해야 합니다.
모델을 호출하기 위해 애플리케이션은 어떤 정보를 포함해야 합니까?
- A. 모델 엔드포인트 및 인증 자격 증명
- B. 내보낸 플레이그라운드 세션 기록
- C. 모델 학습 데이터셋
- D. 파운드리 프로젝트 표시 이름
Correct Answer: A 🗳️
Explanation: Only visible for PassLeaderVCE members. You can sign-up / login (it's free).
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. 신뢰성 및 안전성
- B. 투명성
- C. 책임성
- D. 공정성
Correct Answer: C 🗳️
Microsoft Foundry 프로젝트에 비전 기능이 활성화된 모델 배포가 포함되어 있습니다.
Azure OpenAI Responses API를 사용하여 모델에 프롬프트를 보냅니다.
분석을 위해 이미지를 제공해야 합니다.
요청에 어떤 콘텐츠 항목을 포함해야 합니까?
- A. 이미지 생성
- B. 출력 이미지
- C. 입력 이미지
- D. image_base64
Correct Answer: C 🗳️
Explanation: Only visible for PassLeaderVCE 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: To process prompts that contain images, you must deploy a multimodal generative AI model. = Yes Image prompts require a vision-enabled or multimodal model. A text-only model cannot interpret image content.
Statement 2: In the Foundry playground, you can provide an image by uploading a local file or by specifying a publicly accessible URL. = Yes The Foundry playground for vision-capable models supports adding image input to a prompt, including local uploads and image URLs.
Statement 3: A multimodal model can interpret multiple images included in a single prompt. = Yes Vision-enabled multimodal models can accept image content items in a prompt, and multiple images can be included for the model to analyze together.
문장을 올바르게 완성하는 답을 고르시오.
Correct Answer:
Explanation:
The correct answer is Creating captions for a video recording. Speech recognition, also called speech-to-text, converts spoken audio into textual output. Microsoft explicitly defines Azure Speech-to-Text as speech recognition technology that transcribes audio streams or prerecorded audio into text.
Caption generation is a direct application of this capability. Microsoft describes captioning as converting the audio content of a video, film, webcast, or other production into text and displaying that text visually.
Therefore, creating captions from the spoken content of a video is a canonical speech-recognition workload.
Creating an audio commentary is instead associated with speech synthesis or text-to-speech because the required output is spoken audio. Identifying key phrases in a video transcript is a text-analysis/NLP task performed after the speech has already been transcribed. A voice- activated security system may involve voice authentication, speaker recognition, or command recognition, but it is not as unambiguously a speech-to-text workload as caption generation.
The AI-901 Study Guide specifically requires candidates to distinguish the features and capabilities of speech recognition and speech synthesis.
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