IT업계에 종사하고 계신 분은Microsoft AI-901 시험을 패스하여 자격증을 취득하려고 검색하다 저희 블로그를 보게 되시고 저희 사이트까지 방문하게 될것입니다. 방문하는 순간 Microsoft AI-901시험에 대한 두려움이 사라질것입니다. 완벽한 구매후 서비스까지 겸비하고 있어 자격증을 취득하는데서의 믿음직스러운 동반자로 되어드릴게요.
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IT전문가들이 자신만의 경험과 끊임없는 노력으로 만든 최고의Microsoft AI-901학습자료---- Itexamdump의 Microsoft AI-901덤프! Microsoft AI-901덤프로 시험보시면 시험패스는 더는 어려운 일이 아닙니다. 사이트에서 데모를 다운받아 보시면 덤프의 일부분 문제를 먼저 풀어보실수 있습니다.구매후 덤프가 업데이트되면 업데이트버전을 무료로 드립니다.
질문 # 105
You are developing an application that extracts fields from PDFs by using Azure Content Understanding in Foundry Tools.
You need to use the Python SDK to submit a PDF for analysis and retrieve the extraction results.
What should you do?
정답：A
설명：
To build an application that extracts fields from PDFs using Azure Content Understanding in Foundry Tools, you need to initialize the client library, use begin_analyze_binary to submit the file stream, and poll the long-running operation for the result.
Detail from implemenation:
Wait for the operation to complete and poll the results
result = poller.result()
Reference:
https://lobehub.com/pt-BR/skills/frank-luongt-faos-skills-marketplace-azure-ai-contentunderstanding-py
질문 # 106
Select the answer that correctly completes the sentence.
정답：
설명：
Explanation:
The completed sentence is:
An AI workload that produces new content based on user input is an example of generative AI .
Generative AI is used to create new content, such as text, images, code, audio, or other outputs, from user prompts or instructions.
The other options are incorrect:
content understanding extracts or interprets information from existing content.
information extraction identifies and extracts structured data from content.
text analysis analyzes existing text for entities, sentiment, key phrases, language, or summaries.
질문 # 107
For each of the following statements, select if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
정답：
설명：
Explanation:
Statement
Answer
Image analysis capabilities in Microsoft Foundry Tools can perform optical character recognition (OCR).
Yes
Image analysis capabilities in Microsoft Foundry Tools can generate captions and descriptive tags for images.
Yes
Image analysis capabilities in Microsoft Foundry Tools are designed primarily to create new images from text prompts.
No
Comprehensive and Detailed 150 to 250 words of Explanation From Azure AI Fundamentals/Course Guide
/topics:
The correct sequence is Yes, Yes, No .
The first statement is Yes . Azure Vision Image Analysis in Microsoft Foundry Tools supports optical character recognition (OCR) . Microsoft documents Image Analysis 4.0 as supporting synchronous OCR through its Read capability, which extracts printed or handwritten text contained within images.
The second statement is also Yes . Image Analysis provides both captioning and image tagging . Captions generate a human-readable description of image content, while tags identify recognizable objects, scenes, actions, and other visual concepts. Microsoft explicitly lists capabilities such as Captions, Dense Captions, Tags, Object Detection, People detection, and Read/OCR as Image Analysis features.
The third statement is No . Image Analysis is primarily concerned with extracting information from existing images , not generating new images. Creating an image from a textual prompt is a generative AI/image- generation workload, typically performed by image-generation models. Image Analysis instead interprets visual input by extracting text, captions, tags, objects, and related information.
질문 # 108
Hotspot Question
Select the answer that correctly completes the sentence.
정답：
설명：
질문 # 109
Your company wants to build a recycling machine for bottles. The recycling machine must use cameras to automatically identify bottles of the correct shape and reject all other items.
Which type of Al workload should the company use?
정답：A
설명：
A recycling machine that uses cameras to identify bottles of the correct shape and reject other items requires analysis of visual input. This is a computer vision workload.
Computer vision is used for image and video analysis tasks such as object detection, classification, shape recognition, and visual inspection.
The other options are incorrect:
A). knowledge mining extracts insights from large collections of documents or data.
B). natural language processing analyzes or generates language.
C). generative AI creates new content, but the requirement is to inspect camera images and identify objects.
질문 # 110
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AI-901인기자격증 시험덤프 최신자료: https://www.itexamdump.com/AI-901.html