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Exam AI-900 topic 1 question 207 discussion

Actual exam question from Microsoft's AI-900
Question #: 207
Topic #: 1
[All AI-900 Questions]

You are developing a solution that uses the Language service.

You need to identify the main talking points in a collection of documents.

Which type of natural language processing should you use?

  • A. language detection
  • B. sentiment analysis
  • C. entity recognition
  • D. key phrase extraction
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Suggested Answer: D 🗳️

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Chosen Answer:
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XtraWest
Highly Voted 1 year, 4 months ago
Selected Answer: D
key phrase extraction
upvoted 5 times
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warchoon
Most Recent 4 months ago
q94 doubles
upvoted 1 times
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zellck
1 year, 2 months ago
Selected Answer: D
D is the answer. https://learn.microsoft.com/en-us/azure/cognitive-services/language-service/key-phrase-extraction/overview Key phrase extraction is one of the features offered by Azure Cognitive Service for Language, a collection of machine learning and AI algorithms in the cloud for developing intelligent applications that involve written language. Use key phrase extraction to quickly identify the main concepts in text.
upvoted 3 times
zellck
1 year, 2 months ago
Gotten this in Jun 2023 exam.
upvoted 1 times
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zellck
1 year, 2 months ago
https://learn.microsoft.com/en-us/training/modules/analyze-text-with-text-analytics-service/2-get-started-azure - Key phrase extraction Key phrase extraction is the concept of evaluating the text of a document, or documents, and then identifying the main talking points of the document(s). Consider the restaurant scenario discussed previously. Depending on the volume of surveys that you have collected, it can take a long time to read through the reviews. Instead, you can use the key phrase extraction capabilities of the Language service to summarize the main points.
upvoted 1 times
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rdemontis
1 year, 2 months ago
Selected Answer: D
correct
upvoted 3 times
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saponifyde
1 year, 3 months ago
Selected Answer: D
Correct
upvoted 4 times
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