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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:
당신은 Foundry Tools의 Azure Content Understanding을 사용하여 음성 메일 녹음을 처리하는 애플리케이션을 개발하고 있습니다.
Azure Content Understanding은 오디오를 텍스트로 변환하기 위해 어떤 기능을 사용합니까?
- A. 전사
- B. 핵심 문구 추출
- C. 광학 문자 인식(OCR)
- D. 보이스 라이브
Correct Answer: A 🗳️
Explanation: Only visible for RealVCE members. You can sign-up / login (it's free).
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 " )
제품에 대한 간략한 설명과 목표 고객층을 바탕으로 마케팅 이메일 초안을 생성하는 AI 솔루션을 구축해야 합니다.
어떤 AI 워크로드를 사용해야 할까요?
- A. 컴퓨터 비전
- B. 텍스트 분류
- C. 생성형 인공지능
- D. 음성 인식
Correct Answer: C 🗳️
Explanation: Only visible for RealVCE members. You can sign-up / login (it's free).
Microsoft Foundry 포털에서 Agent1이라는 이름의 에이전트를 생성한 다음 해당 에이전트를 배포합니다.
Agent1을 테스트하기 위해 Foundry 플레이그라운드를 엽니다.
테스트 환경이 실제 운영 환경을 반영하도록 하기 위해 개발 환경은 무엇을 사용하나요?
- A. 에이전트의 지침이나 도구 없이 모델의 기본 동작
- B. Agent1의 구성
- C. 플레이그라운드에서 생성된 기본 구성
- D. 배포되지 않은 마지막으로 저장된 구성 초안
Correct Answer: B 🗳️
Azure 구독을 보유하고 계십니다.
송장에서 구조화된 데이터를 추출하려면 Foundry Tools에서 Azure Content Understanding을 사용해야 합니다.
무엇을 준비해야 할까요?
- A. Microsoft Foundry 리소스
- B. Azure OpenAI 리소스
- C. Azure AI 검색 서비스
- D. 마이크로소프트 파운드리 프로젝트
Correct Answer: A 🗳️
Explanation: Only visible for RealVCE members. You can sign-up / login (it's free).
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