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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
3 weeks, 3 days 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
8 months, 2 weeks ago
Selected Answer: C
I say this answer is C.
upvoted 1 times
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reigenchimpo
8 months, 3 weeks ago
Selected Answer: C
C is answer.
upvoted 1 times
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anto69
9 months ago
Selected Answer: C
C for me and ChatGPT too
upvoted 1 times
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takaimomoGcup
9 months, 2 weeks ago
Selected Answer: C
NER is right answer.
upvoted 1 times
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Murtuza
11 months, 3 weeks 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
12 months 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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