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Exam AI-102 topic 3 question 62 discussion

Actual exam question from Microsoft's AI-102
Question #: 62
Topic #: 3
[All AI-102 Questions]

You are building a chatbot.

You need to ensure that the bot will recognize the names of your company’s products and codenames. The solution must minimize development effort.

Which Azure Cognitive Service for Language service should you include in the solution?

  • A. custom text classification
  • B. entity linking
  • C. custom Named Entity Recognition (NER)
  • D. key phrase extraction
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Suggested Answer: C 🗳️
by GHill1982 at March 10, 2024, 7:32 a.m.

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syupwsh
1 month, 2 weeks ago
Selected Answer: C
NER allows you to train a model to recognize and categorize specific entities, such as your company’s products and codenames. This minimizes development effort by leveraging Azure's capabilities to build a custom model for your specific needs. C for correct
upvoted 1 times
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HaraTadahisa
9 months, 1 week ago
Selected Answer: C
I say this answer is C.
upvoted 1 times
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reigenchimpo
9 months, 3 weeks ago
Selected Answer: C
C is answer.
upvoted 1 times
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anto69
9 months, 3 weeks ago
Selected Answer: C
C for me and ChatGPT too
upvoted 1 times
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takaimomoGcup
10 months, 2 weeks ago
Selected Answer: C
NER is right answer.
upvoted 1 times
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Murtuza
1 year ago
Named Entity Recognition (NER) identifies and categorizes specific names or terms in text, such as names of people, organizations, places, and more. By customizing NER, you can tailor it to recognize your company-specific entities, making it an efficient solution for your chatbot’s needs45. So, the correct answer is C. custom Named Entity Recognition (NER).
upvoted 2 times
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GHill1982
1 year ago
Selected Answer: C
C. custom Named Entity Recognition (NER) Custom NER allows you to train a model to recognize specific terms relevant to your business, such as product names and codenames. https://learn.microsoft.com/en-us/azure/ai-services/computer-vision/concept-shelf-analysis
upvoted 3 times
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B (20%)
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