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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
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Microsoft Azure AI Fundamentals (AI-901 Korean Version) Sample Questions:
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 🗳️
다음 각 문장에 대해, 문장이 사실이면 '예'를 선택하고, 그렇지 않으면 '아니요'를 선택하십시오.
참고: 정답 하나당 1점입니다.
Correct Answer:
당신은 Foundry Tools의 Azure Speech를 사용하여 텍스트를 음성으로 변환하고 합성된 음성을 파일로 저장하는 애플리케이션을 개발하고 있습니다.
파이썬 코드를 어떻게 완성해야 할까요? 정답을 선택하려면 답변란에서 적절한 옵션을 고르세요.
참고: 정답 하나당 1점입니다.
Correct Answer:
Explanation:
AudioOutputConfig(filename= " output.wav " )
The question specifically states the application must save the synthesized audio to a file. In the Azure Speech SDK for Python, speechsdk.audio.AudioOutputConfig(filename= " output.wav " ) directs the synthesizer to write the generated speech output directly to a WAV file on disk - which is exactly the requirement.
Why the other options are wrong:
AudioOutputConfig(stream) - This routes audio output to an in-memory audio stream object, not a file. It is used when you want to process or play the audio programmatically without saving it to disk.
AudioStreamFormat(wave_stream_format=AudioStreamWaveFormat.PCM) - This class defines the format of an audio stream (e.g., PCM encoding, sample rate). It is used when configuring custom audio streams, not when specifying a file output destination. It is not a valid argument for speechsdk.audio. in this context.
The correct and complete line is:
audio_config = speechsdk.audio.AudioOutputConfig(filename= " output.wav " )
귀사는 고객 지원 이메일을 처리합니다.
이메일에서 사람, 조직, 위치에 대한 언급을 자동으로 식별하는 AI 솔루션을 구현해야 합니다.
어떤 텍스트 분석 기법을 사용해야 할까요?
- A. 핵심 문구 추출
- B. 감정 분석
- C. 개체명 인식(NER)
- D. 요약
Correct Answer: C 🗳️
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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.
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