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Exam AI-102 topic 5 question 3 discussion

Actual exam question from Microsoft's AI-102
Question #: 3
Topic #: 5
[All AI-102 Questions]

You are building a multilingual chatbot.
You need to send a different answer for positive and negative messages.
Which two Language service APIs should you use? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

  • A. Linked entities from a well-known knowledge base
  • B. Sentiment Analysis
  • C. Key Phrases
  • D. Detect Language
  • E. Named Entity Recognition
Show Suggested Answer Hide Answer
Suggested Answer: BD 🗳️

Comments

Chosen Answer:
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Lion007
Highly Voted 1 year, 3 months ago
Selected Answer: BD
B. Sentiment Analysis <-- different answer for positive and negative messages D. Detect Language <-- multilingual chatbot
upvoted 5 times
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syupwsh
Most Recent 1 day, 14 hours ago
Selected Answer: BD
Sentiment Analysis is CORRECT because it allows you to determine whether a message is positive, neutral, or negative. This is essential for sending different responses based on the sentiment of the message. Detect Language is CORRECT because it helps identify the language of the incoming message, which is crucial for ensuring that the chatbot can respond in the appropriate language. BD for sure
upvoted 1 times
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anto69
6 months, 1 week ago
Selected Answer: BD
BD is the correct answer without any doubt
upvoted 1 times
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reigenchimpo
8 months ago
Selected Answer: BD
BD is answer.
upvoted 1 times
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nanaw770
8 months, 2 weeks ago
Selected Answer: BD
B and D are correct answer.
upvoted 1 times
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rdemontis
1 year, 3 months ago
Selected Answer: BD
correct answer
upvoted 2 times
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am20
2 years, 1 month ago
for sure B but not sure why D? although other options are not useful either!
upvoted 1 times
AzureJobsTillRetire
1 year, 11 months ago
You are building a "multilingual" chatbot, and that is why D (Detect Language) is correct
upvoted 6 times
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slcheng
2 years, 1 month ago
Selected Answer: BD
Agreed with B & D
upvoted 2 times
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Community vote distribution
A (35%)
C (25%)
B (20%)
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