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AI-900 Microsoft Azure AI Fundamentals Exam Questions and Answers – Page 2 Part 1

The latest Microsoft AI-900 Azure AI Fundamentals certification actual real practice exam question and answer (Q&A) dumps are available free, which are helpful for you to pass the Microsoft AI-900 Azure AI Fundamentals exam and earn Microsoft AI-900 Azure AI Fundamentals certification.

Question 111

OCR

Answer

Optical character recognition, used to recognize individual shapes as letters, numerals, punctuation or other elements of text

Question 112

What are the uses of OCR?

Answer

Note taking, digitizing forms such as medical records or historical documents, scanning printed or handwritten checks for bank deposits. designed for quick extraction of small amounts of texts in images. operates synchronously to provide immediate results. can recognize text in numerous languages

Question 113

What resources can you use for OCR?

Answer

Computer vision or cognitive services

Question 114

What information do you need from your resources used for OCR?

Answer

Key and endpoint

Question 115

What computer vision API’s can read text?

Answer

OCR and Read

Question 116

OCR API returns a hierarchy of information that consists of:

Answer

Regions in the image that contain text, Lines of text in each region, Words in each line of text

Question 117

True or False: The OCR method can have issues with false positives when the image is considered text-dominate

Answer

True

Question 118

Read API

Answer

For documents with a lot of text. has the ability to automatically determine the proper recognition model to use, taking into consideration lines of text and supporting images with printed text as well as recognizing handwriting

Question 119

Does the Read API work synchronously or asynchronously?

Answer

The Read API works asynchronously so as not to block your application while it is reading the content and returning results to your application

Question 120

What is the 3 step process to use the Read API?

Answer

  1. Submit an image to the API and retrieve an operation ID in response
  2. Use the operation ID to check on the status of the image analysis operation and wait until it has completed
  3. Retrieve the results of the operation