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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:
Foundry Tools에서 Azure Speech를 사용하는 애플리케이션을 개발 중입니다. SpeechConfig 객체를 생성하여 Python용 Speech SDK를 초기화해야 합니다. 어떤 값을 지정해야 할까요?
- A. 모델 배포 이름 및 모델 엔드포인트
- B. Foundry 프로젝트 이름 및 프로젝트 엔드포인트
- C. 저장소 계정 키 및 연결 문자열
- D. 파운드리 리소스 키 및 엔드포인트
Correct Answer: D 🗳️
Explanation: Only visible for VCE4Dumps members. You can sign-up / login (it's free).
Microsoft Foundry에서 특정 역할과 동작을 따르는 AI 에이전트를 생성해야 합니다.
무엇을 설정해야 할까요?
- A. 시스템 지침
- B. 분당 토큰 수(TPM)
- C. 최대 완료 토큰
- D. 온도
Correct Answer: A 🗳️
Explanation: Only visible for VCE4Dumps members. You can sign-up / login (it's free).
이미지에서 텍스트를 추출하는 것은 어떤 유형의 AI 기능에 해당합니까?
- A. 이미지 설명
- B. 텍스트 분석
- C. 객체 감지
- D. 광학 문자 인식(OCR)
Correct Answer: D 🗳️
Explanation: Only visible for VCE4Dumps members. You can sign-up / login (it's free).
문장을 올바르게 완성하는 답을 고르시오.
Correct Answer:
Explanation:
The completed sentence is:
Ensuring that human reviewers oversee AI-generated decisions and remain responsible for the final output is an example of the Microsoft responsible AI principle of accountability.
Accountability means people and organizations remain responsible for AI systems and their effects. Human review and responsibility for final decisions are examples of accountability.
The other options are incorrect:
fairness focuses on avoiding bias and treating people fairly.
privacy and security focuses on protecting data and restricting access.
transparency focuses on explaining AI use, capabilities, and limitations.
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.
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