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Exam AI-900 topic 1 question 105 discussion

Actual exam question from Microsoft's AI-900
Question #: 105
Topic #: 1
[All AI-900 Questions]

In which scenario should you use key phrase extraction?

  • A. identifying whether reviews of a restaurant are positive or negative
  • B. generating captions for a video based on the audio track
  • C. identifying which documents provide information about the same topics
  • D. translating a set of documents from English to German
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Suggested Answer: C 🗳️

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Radoslavov
Highly Voted 3 years, 3 months ago
C - "Use key phrase extraction to quickly identify the main concepts in text. For example, in the text "The food was delicious and the staff were wonderful.", key phrase extraction will return the main topics: "food" and "wonderful staff"."
upvoted 11 times
ravick4u
2 years, 10 months ago
Is the option C has incorrect text in it? "identifying which documents provide information about the same topics"
upvoted 1 times
Sameera93
1 year, 5 months ago
A. Identifying whether reviews of a restaurant are positive or negative - Key phrase extraction might be helpful in this scenario to extract key phrases or words that indicate sentiment (e.g., "excellent service," "terrible food"). However, other natural language processing techniques like sentiment analysis may be more directly applicable. So it should be C
upvoted 1 times
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kdw
Highly Voted 2 years, 8 months ago
Selected Answer: C
C correct
upvoted 5 times
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M2000F007fubar
Most Recent 4 months ago
Answer is C: Key phrase extraction is one of the features offered by Azure AI 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. For example, in the text "The food was delicious and the staff were wonderful.", key phrase extraction will return the main topics: "food" and "wonderful staff".
upvoted 1 times
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BenLam
1 year ago
Given the example by Microsoft in the key phrase extraction. https://learn.microsoft.com/en-us/azure/ai-services/language-service/key-phrase-extraction/how-to/call-api we assume the answer is A but as others have pointed out it is C as Sentiment Analysis is needed if it is option A. https://learn.microsoft.com/en-us/azure/ai-services/language-service/sentiment-opinion-mining/overview?tabs=prebuilt
upvoted 2 times
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Sameera93
1 year, 5 months ago
Selected Answer: C
The scenario where key phrase extraction is most appropriate is C - Identifying which documents provide information about the same topics.
upvoted 1 times
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mcalif
1 year, 6 months ago
Selected Answer: C
C is the answer
upvoted 1 times
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RJ1989
1 year, 6 months ago
Selected Answer: C
C is correct
upvoted 1 times
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globy118
1 year, 8 months ago
Selected Answer: A
A In which scenario should you use a key phrase extraction? Use key phrase extraction to quickly identify the main concepts in text. For example, in the text "The food was delicious and the staff were wonderful.", key phrase extraction will return the main topics: "food" and "wonderful staff" https://learn.microsoft.com/en-us/azure/cognitive-services/language-service/key-phrase-extraction/overview
upvoted 1 times
meena_lucky
1 year, 8 months ago
A says "positive or negative review' which is definitely sentiment analysis and not key phrase extraction
upvoted 3 times
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globy118
1 year, 8 months ago
A In which scenario should you use a key phrase extraction? Use key phrase extraction to quickly identify the main concepts in text. For example, in the text "The food was delicious and the staff were wonderful.", key phrase extraction will return the main topics: "food" and "wonderful staff" https://learn.microsoft.com/en-us/azure/cognitive-services/language-service/key-phrase-extraction/overview
upvoted 2 times
sujitwarrier11
9 months, 2 weeks ago
Wrong. Key phrase extraction will give you the phrases, but wont tell you if the sentiment is positive or negative. You need Sentiment analysis for that.
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rdemontis
1 year, 9 months ago
Selected Answer: C
correct answer
upvoted 4 times
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xiban
3 years, 4 months ago
why not A and C ?
upvoted 2 times
tajale7504
3 years, 4 months ago
that is sentiment analysis
upvoted 5 times
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Community vote distribution
A (35%)
C (25%)
B (20%)
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