AI-901예상문제, AI-901높은통과율덤프데모문제

Fast2test의Microsoft AI-901덤프는 레알시험의 모든 유형을 포함하고 있습니다.객관식은 물론 드래그앤드랍,시뮬문제등 실제시험문제의 모든 유형을 포함하고 있습니다. Microsoft AI-901덤프의 문제와 답은 모두 엘리트한 인증강사 및 전문가들에 의하여 만들어져Microsoft AI-901 시험응시용만이 아닌 학습자료용으로도 손색이 없는 덤프입니다.저희 착한Microsoft AI-901덤프 데려가세용~!

Microsoft AI-901 시험요강:

주제	소개
주제 1	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.
주제 2	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.

>> AI-901예상문제 <<

AI-901높은 통과율 덤프데모문제 & AI-901시험덤프데모

Microsoft인증 AI-901시험준비중이신 분들은Microsoft인증 AI-901시험통과가 많이 어렵다는것을 알고 있을것입니다. 학교공부하랴,회사다니랴 자격증공부까지 하려면 너무 많은 정력과 시간이 필요할것입니다. 그렇다고 자격증공부를 포기하면 자신의 위치를 찾기가 힘들것입니다. Fast2test 덤프는 IT인증시험을 대비하여 제작된것이므로 시험적중율이 높아 다른 시험대비공부자료보다 많이 유용하기에 IT자격증을 취득하는데 좋은 동반자가 되어드릴수 있습니다. Fast2test 덤프를 사용해보신 분들의 시험성적을 통계한 결과 시험통과율이 거의 100%에 가깝다는 놀라운 결과를 얻었습니다.

최신 Microsoft Certified: Azure AI Fundamentals AI-901 무료샘플문제 (Q104-Q109):

질문 # 104
You have a website that includes customer reviews.
You need to store the reviews in English and present the reviews to users in their respective language based on each user ' s geographical location.
Which type of natural language processing workload should you use?

A. language modeling
B. translation
C. speech recognition
D. key phrase extraction

정답：D

질문 # 105
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?

A. input_image
B. output_image
C. image_base64
D. image_generation

정답：A

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.

질문 # 106
Hotspot Question
You are developing an application that analyze invoices by using Azure Content Understanding in Foundry Tools.
You need to ensure that the application retrieves the analysis results after processing completes.
How should you complete the Python code? To answer, select the appropriate option in the answer area.
NOTE: Each correct selection is worth one point.

정답：

설명：

질문 # 107
You are developing an application that analyze invoices by using Azure Content Understanding in Foundry Tools.
You need to ensure that the application retrieves the analysis results after processing completes.
How should you complete the Python code? To answer, select the appropriate option in the answer area.
NOTE: Each correct selection is worth one point.

정답：

설명：

Explanation:

The completed code is:
poller = client.begin_analyze(
analyzer_id= " invoice " ,
input_url=url
)
result = poller.result()
Azure Content Understanding analysis uses a long-running operation pattern. The Python SDK returns a poller from begin_analyze(), and Microsoft documentation states that the SDK poller handles polling automatically when you call .result() .
Therefore, to retrieve the analysis results after processing completes, the correct option is:
result
The other options are incorrect because status checks operation state, wait waits without returning the final analysis object, and get_results is not the method shown for retrieving the begin_analyze() result in this code pattern.

질문 # 108
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：

Explanation:

Statement 1: In the Foundry playground, you can upload a local image and include text in the same message when prompting a multimodal model. = Yes Microsoft documentation for vision-enabled chat models states that in the chat session pane, you can select the attachment button, upload an image, add a text prompt such as "Describe this image," and then submit it.
Statement 2: When using the OpenAI Responses API and a vision-enabled model, images can be provided only as base64-encoded image data. = No Images are not limited to base64 data. The Responses API supports image input through an image URL, and Azure OpenAI documentation also describes examples using base64 encoded image data.
Statement 3: Prompts that include images require deploying a text-only model because multimodal capabilities are handled by the application layer. = No Image prompts require a vision-enabled multimodal model, not a text-only model. Azure OpenAI vision- capable models accept image and text inputs directly.

질문 # 109
......

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AI-901높은 통과율 덤프데모문제: https://kr.fast2test.com/AI-901-premium-file.html