AI-901시험대비최신버전덤프, AI-901학습자료

목표가 있다면 목표를 향해 끊임없이 달려야 멋진 인생이 됩니다. 지금의 현황에 만족하여 아무런 노력도 하지 않는다면 언젠가는 치열한 경쟁을 이겨내지 못하게 될것입니다. IT업종에 종사중이시라면 다른분들이 모두 취득하는 자격증쯤은 마련해야 되지 않겠습니까? Microsoft인증 AI-901시험은 요즘 가장 인기있는 자격증 시험의 한과목입니다. IT업계에서 살아남으려면Fast2test에서Microsoft인증 AI-901덤프를 마련하여 자격증에 도전하여 자기의 자리를 찾아보세요.

Microsoft AI-901 시험요강:

주제	소개
주제 1	Identify AI concepts and capabilities: This domain covers the foundational knowledge of AI from ethical principles and responsible design to understanding how AI models work and what kinds of tasks they can perform. It also explores the full range of AI workloads including generative AI, computer vision, speech, and information extraction.
주제 2	Implement AI solutions by using Microsoft Foundry: This domain is hands-on and focuses on building and deploying AI solutions using the Microsoft Foundry platform and its associated tools. It spans generative AI apps, text and speech processing, computer vision, and document intelligence all implemented through the Foundry portal and SDK.

>> AI-901시험대비 최신버전 덤프 <<

적중율 좋은 AI-901시험대비 최신버전 덤프 인증덤프

Microsoft인증AI-901시험을 패스함으로 취업에는 많은 도움이 됩니다. Fast2test는Microsoft인증AI-901시험패스로 꿈을 이루어주는 사이트입니다. 우리는Microsoft인증AI-901시험의 문제와 답은 아주 좋은 학습자료로도 충분한 문제집입니다. 여러분이 안전하게 간단하게Microsoft인증AI-901시험을 응시할 수 있는 자료입니다.

최신 Microsoft Certified: Azure AI Fundamentals AI-901 무료샘플문제 (Q62-Q67):

질문 # 62
Which natural language processing feature can be used to identify the main talking points in customer feedback surveys?

A. language detection
B. translation
C. entity recognition
D. key phrase extraction

정답：D

설명：
To identify the main talking points in customer feedback surveys, use key phrase extraction . This feature identifies important words and phrases in text, which is useful for summarizing themes in feedback.

질문 # 63
You are developing a lightweight application that will call an agent programmatically by using the Microsoft Foundry SDK.
You need to identify the agent ID.
What should you do?

A. the Foundry portal, copy the project name.
B. In the model catalog, open the model card and copy the model family name.
C. In the Foundry tool catalog, copy the tool name used by the agent.
D. In the Foundry playground, select Code, and view the .env variables.

정답：D

설명：
To determine the agent ID for calling an agent programmatically using the Microsoft Foundry SDK, the correct action is to in the Foundry playground, select Code, and view the .env variables (or look at the code view/overview section showing agent parameters like asst_ID).
When interacting with or testing an agent in the Foundry Playground, clicking the Code view reveals the pre-configured parameters, code snippets, and environment variables (such as the Assistant/Agent ID or project configurations) required to instantiate and call that exact agent programmatically through the SDK.
Reference:
https://learn.microsoft.com/en-us/azure/foundry/agents/how-to/tools/code-interpreter

질문 # 64
You are authoring a Conversational Language Understanding application to support a music festival.
You want users to be able to ask questions about scheduled shows, such as: "Which act is playing on the main stage?" The question "Which act is playing on the main stage?" is an example of which type of element?

A. an entity
B. an utterance
C. an intent
D. a domain

정답：B

질문 # 65
Stating the source of the data used to train a model is an example of which responsible AI principle?

A. transparency
B. fairness
C. reliability and safety
D. privacy and security

정답：A

설명：
Transparency in AI refers to openly sharing information about how an AI system is designed, trained, and operates. Stating the source of the data used to train a model is an example of transparency, as it provides clarity about the origins of the data and helps stakeholders understand the model's development process.

질문 # 66
Drag and Drop Question
Match the principles of responsible AI to appropriate requirements.
To answer, drag the appropriate principles from the column on the left to its requirement on the right. Each principle may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.

정답：

설명：

Explanation:
Box 1: Fairness
Fairness (or non-discrimination/equity) is the responsible AI principle that applies when a system must not discriminate based on gender, race, or age. This principle ensures the AI treats all people fairly and does not create or copy unfair bias.
Box 2: Privacy and security
Privacy and security is the responsible AI principle that best fits when personal data must be visible only to approved users.
Data Protection: It requires safeguarding user data from unauthorized access.
Access Control: It ensures only authenticated and authorized users view sensitive information.
Trust Safeguards: It prevents data leaks and maintains user confidentiality.
Box 3: Transparency
The Transparency responsible AI principle requires that artificial intelligence systems and their operations are open, understandable, and properly disclosed so that users and stakeholders know when they are interacting with AI, how decisions are made, and what the system's limitations are.
Reference:
https://learn.microsoft.com/en-us/azure/machine-learning/concept-responsible-ai?view=azureml-api-2

질문 # 67
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Microsoft AI-901인증덤프는 최근 출제된 실제시험문제를 바탕으로 만들어진 공부자료입니다. Microsoft AI-901 시험문제가 변경되면 제일 빠른 시일내에 덤프를 업데이트하여 최신버전 덤프자료를Microsoft AI-901덤프를 구매한 분들께 보내드립니다. 시험탈락시 덤프비용 전액환불을 약속해드리기에 안심하시고 구매하셔도 됩니다.

AI-901학습자료: https://kr.fast2test.com/AI-901-premium-file.html