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Free AI-900 Exam Braindumps (page: 25)

Page 24 of 63
PDF with 247 Questions

HOTSPOT (Drag and Drop is not supported)
Select the answer that correctly completes the sentence.
Hot Area:

  1. See Explanation section for answer.

Answer(s): A

Explanation:




Handwriting OCR (optical character recognition) is the process of automatically extracting handwritten information from paper, scans and other low-quality digital documents.


Reference:

https://vidado.ai/handwriting-ocr



You are developing a solution that uses the Text Analytics service.
You need to identify the main talking points in a collection of documents.
Which type of natural language processing should you use?

  1. entity recognition
  2. key phrase extraction
  3. sentiment analysis
  4. language detection

Answer(s): B

Explanation:

Broad entity extraction: Identify important concepts in text, including key
Key phrase extraction/ Broad entity extraction: Identify important concepts in text, including key phrases and named entities such as people, places, and organizations.


Reference:

https://docs.microsoft.com/en-us/azure/architecture/data-guide/technology-choices/natural-language-processing



In which two scenarios can you use speech recognition? Each correct answer presents a complete solution.
Note: Each correct selection is worth one point.

  1. an in-car system that reads text messages aloud
  2. providing closed captions for recorded or live videos
  3. creating an automated public address system for a train station
  4. creating a transcript of a telephone call or meeting

Answer(s): B,D


Reference:

https://azure.microsoft.com/en-gb/services/cognitive-services/speech-to-text/#features



HOTSPOT (Drag and Drop is not supported)
To complete the sentence, select the appropriate option in the answer area.
Hot Area:

  1. See Explanation section for answer.

Answer(s): A

Explanation:


Reference:

https://azure.microsoft.com/en-gb/services/cognitive-services/speech-to-text/#features






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