Microsoft Azure AI Fundamentals AI-900 Practice Question

An organization needs to digitally extract text from a large number of scanned documents and images containing both printed and handwritten text. They require a solution that can process unstructured data effectively.

Which feature of Azure AI services is most suitable for their needs?

Form Recognizer to analyze and extract structured data
Face API to detect and analyze faces in images
Computer Vision's text reading capability
Text Analytics to analyze and interpret text sentiment

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Answer Description

Computer Vision's text reading capability - This is the correct answer. Computer Vision's text reading capability (including OCR features) in Azure AI services is the most suitable solution for extracting both printed and handwritten text from scanned documents and images. It can process unstructured data by detecting and reading text in various image formats, making it ideal for the organization's needs.

Form Recognizer to analyze and extract structured data - Form Recognizer is useful for extracting structured data (e.g., from forms or invoices), but it is not primarily designed to handle the extraction of general unstructured text from images, especially when dealing with a mix of printed and handwritten text.

Text Analytics to analyze and interpret text sentiment - Text Analytics is primarily used for analyzing and interpreting the sentiment, entities, or key phrases in text data, but it does not extract text from images or scanned documents.

Face API to detect and analyze faces in images - The Face API is focused on detecting and analyzing human faces in images, not for extracting text from documents or images. This is unrelated to the task of text extraction.

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Microsoft Azure AI Fundamentals AI-900

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