완벽한AI-901최신업데이트버전덤프문제공부덤프는시험패스의가장좋은공부자료

많은 사이트에서Microsoft 인증AI-901 인증시험대비자료를 제공하고 있습니다. 그중에서 Fast2test를 선택한 분들은Microsoft 인증AI-901시험통과의 지름길에 오른것과 같습니다. Fast2test는 시험에서 불합격성적표를 받으시면 덤프비용을 환불하는 서비스를 제공해드려 아무런 걱정없이 시험에 도전하도록 힘이 되어드립니다. Fast2test덤프를 사용하여 시험에서 통과하신 분이 전해주신 희소식이 Fast2test 덤프품질을 증명해드립니다.

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.

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퍼펙트한 AI-901최신 업데이트버전 덤프문제공부 뎜프데모

Fast2test Microsoft AI-901덤프의 질문들과 답변들은 100%의 지식 요점과 적어도 98%의 시험 문제들을 커버하는,수년동안 가장 최근의Microsoft AI-901시험 요점들을 컨설팅 해 온 시니어 프로 IT 전문가들의 그룹에 의해 구축 됩니다. Fast2test의 IT전문가들이 자신만의 경험과 끊임없는 노력으로 최고의Microsoft AI-901학습자료를 작성해 여러분들이Microsoft AI-901시험에서 패스하도록 도와드립니다.

최신 Microsoft Certified: Azure AI Fundamentals AI-901 무료샘플문제 (Q119-Q124):

질문 # 119
What is the maximum image size that can be processed by using the prebuilt receipt model in Azure AI Document Intelligence?

A. 100 MB
B. 10 MB
C. 50 MB
D. 5 MB

정답：C

설명：
Document Intelligence receipt model
Supported file size: less than 50 MB; minimum pixels 50 x 50 px; maximum pixels 10,000 x
10,000 px
For custom extraction model training, the total size of training data is 50 MB for template model and 1 GB for the neural model.
Reference:
https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/prebuilt/id-document

질문 # 120
Hotspot Question
Select the answer that correctly completes the sentence.

정답：

설명：

Explanation:
Box: natural language processing
The interactive answering of questions entered by a user as part of an application is a direct example of natural language processing (NLP).
How NLP Powers Interactive Q&A
Text interpretation: The system uses linguistic rules and machine learning models to read and interpret the user's typed input.
Intent recognition: It figures out what the user wants or needs by analyzing the meaning behind the words.
Response generation: It formulates and delivers a human-like reply back through the application interface.
Reference:
https://www.gauthmath.com/solution/1800845210023942/The-interactive-answering-of-questions-entered-by-a-user-as-part-of-an-applicati

질문 # 121
Hotspot Question
Select the answer that correctly completes the sentence.

정답：

설명：

Explanation:
Box: the Azure Language MCP server
To enable an AI agent in Microsoft Foundry to utilize Azure Language capabilities for text analysis, you must configure the Azure Language Model Context Protocol (MCP) server.
Microsoft Foundry integrates its ecosystem of deterministic AI services through the standardized Model Context Protocol (MCP). This removes the need to write custom routing logic or stitch together multiple standalone APIs.
Reference:
https://learn.microsoft.com/en-us/azure/ai-services/language-service/overview

질문 # 122
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 intent
B. an entity
C. an utterance
D. a domain

정답：C

설명：
In Conversational Language Understanding (CLU), an utterance is the spoken or typed input provided by a user in a conversation. It represents a discrete element of their communication, which can be a single sentence, a question, a command, or any form of human language.?
It's a natural language phrase such as "book 2 tickets to Seattle next Tuesday". Example utterances are added to train the model and the model predicts on new utterance at runtime.
Reference:
https://learn.microsoft.com/en-us/azure/ai-services/language-service/conversational-language-understanding/glossary

질문 # 123
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. In the model catalog, open the model card and copy the model family name.
B. the Foundry portal, copy the project 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：
When calling a Foundry agent programmatically by using the Microsoft Foundry SDK, the application needs the agent's configuration values, including the agent ID . The Foundry playground provides a Code view that shows sample application code and environment variables needed to call the agent.
The other options are incorrect:
A). copy the tool name used by the agent identifies a tool, not the agent.
B). copy the model family name identifies the model family, not the agent instance.
C). copy the project name identifies the project, not the specific agent ID.

질문 # 124
......

여러분이 우리Microsoft AI-901문제와 답을 체험하는 동시에 우리Fast2test를 선택여부에 대하여 답이 나올 것입니다. 우리는 백프로 여러분들한테 편리함과 통과 율은 보장 드립니다. 여러분이 안전하게Microsoft AI-901시험을 패스할 수 있는 곳은 바로 Fast2test입니다.

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