100%합격보장가능한AI-901최신업데이트시험덤프덤프공부

Wiki Article

Itcertkr는 믿을 수 있는 사이트입니다. IT업계에서는 이미 많이 알려져 있습니다. 그리고 여러분에 신뢰를 드리기 위하여 Microsoft 인증AI-901 관련자료의 일부분 문제와 답 등 샘플을 무료로 다운받아 체험해볼 수 있게 제공합니다. 아주 만족할 것이라고 믿습니다. Itcertkr제품에 대하여 아주 자신이 있습니다. Microsoft 인증AI-901 도 여러분의 무용지물이 아닌 아주 중요한 자료가 되리라 믿습니다. 여러분께서는 아주 순조로이 시험을 패스하실 수 있을 것입니다.

Microsoft AI-901 시험요강:

주제소개
주제 2
  • Identify AI concepts and capabilities:
주제 3
  • Implement AI solutions by using Microsoft Foundry:
주제 6
  • 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.

>> AI-901최신 업데이트 시험덤프 <<

AI-901최신 업데이트 시험덤프 덤프 업데이트 버전

Itcertkr의Microsoft AI-901 덤프 구매 후 등록된 사용자가 구매일로부터 일년 이내에Microsoft AI-901시험에 실패하셨다면 Itcertkr메일에 주문번호와 불합격성적표를 보내오셔서 환불신청하실수 있습니다.구매일자 이전에 발생한 시험불합격은 환불보상의 대상이 아닙니다. 개별 인증사는 불합격성적표를 발급하지 않기에 재시험신청내역을 환불증명으로 제출하시면 됩니다.

최신 Microsoft Certified: Azure AI Fundamentals AI-901 무료샘플문제 (Q21-Q26):

질문 # 21
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

정답：

설명：


질문 # 22
You have a Microsoft Foundry project that contains an agent named Agent1.
You need to ensure that Agent1 always calls an Azure function when the agent responds to user input.
To what should you set tool_choice for Agent1?

정답：B

설명：
Microsoft's Foundry Agent Service documentation states that tool_choice provides deterministic control over tool calling:
auto means the model decides whether to call tools.
required means the model must call one or more tools.
none means the model does not call tools.
Therefore:
A . auto = Incorrect, because the model may or may not call the Azure function.
B . none = Incorrect, because this prevents tool/function calls.
C . required = Correct, because it forces the agent to call a tool.
The Azure OpenAI function-calling documentation also confirms that tool_choice="auto" lets the model decide whether to call a function, while tool_choice="none" forces a user-facing response without a tool call.


질문 # 23
You are developing a web app that processes invoices to calculate expenses.
You need to extract structured fields, including nested values, from the invoices by using a defined schema.
What should you use?

정답：C

설명：
The requirement is to extract structured fields, including nested values, from invoices by using a defined schema. In Azure Content Understanding, an analyzer is the processing unit that defines how content is analyzed, what information is extracted, and how the output is structured, including JSON fields.
Microsoft's Content Understanding document solutions documentation states that Content Understanding uses customizable analyzers to extract essential information, fields, and relationships from documents and forms. Microsoft's quickstart also shows invoice processing with the prebuilt-invoice analyzer to extract structured data from an invoice document.
Why the other options are incorrect:
A . transcription workflow in Azure Speech is for converting audio to text, not invoice field extraction.
B . OCR-only document processing can extract text but does not meet the requirement for structured fields and nested values by schema.
D . Azure AI Search is for indexing and querying content, not defining invoice extraction schemas.
Therefore, the correct answer is C. an analyzer in Azure Content Understanding in Foundry Tools.


질문 # 24
You have a Microsoft Foundry project that contains a vision-enabled model deployment.
You use the Azure OpenAI Responses API to send a prompt to the model.
You need to provide an image for analysis.
Which content item should you include in the request?

정답：C

설명：
When using the Azure OpenAI Responses API with a vision-enabled model, the image must be included as an input image content item. The correct content item type is:
{"type": "input_image", "image_url": image_url}
Microsoft's Azure OpenAI Responses API documentation states that the Responses API supports image inputs, and multimodal requests use structured input content items for the request.
Why the other options are incorrect:
A . image_base64 = Incorrect. Base64 data can be used as the image data format, but the content item type is still input_image.
B . image_generation = Incorrect. This is related to generating images, not providing an image for analysis.
C . output_image = Incorrect. This would refer to generated output, not image input.
D . input_image = Correct.


질문 # 25
Select the answer that correctly completes the sentence.

정답：

설명：


질문 # 26
......

Itcertkr의 Microsoft AI-901덤프를 구매하기전 우선 pdf버전 덤프샘플을 다운받아 덤프문제를 공부해보시면Itcertkr덤프품질에 신뢰가 느껴질것입니다. Itcertkr의 Microsoft AI-901덤프가 고객님의 시험패스테 조금이나마 도움이 되신다면 행복으로 느끼겠습니다.

AI-901퍼펙트 인증덤프자료: https://www.itcertkr.com/AI-901_exam.html

Report this wiki page