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Microsoft Exam AI-900 Topic 5 Question 55 Discussion

Actual exam question for Microsoft's AI-900 exam
Question #: 55
Topic #: 5
[All AI-900 Questions]

You are building a chatbot that will use natural language processing (NLP) to perform the following actions based on the text input of a user:

* Accept customer orders.

* Retrieve support documents.

* Retrieve order status updates.

Which type of NLP should you use?

Show Suggested Answer Hide Answer
Suggested Answer: C

by Donte at Dec 08, 2023, 08:23 AM

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Susy
2 months ago
I'm going with named entity recognition. It's the clear choice to extract the critical details needed to process orders, look up support docs, and provide status updates. Anything else would be like trying to build a house with a screwdriver.
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Winfred
12 days ago
Yes, named entity recognition is the way to go for processing orders, retrieving documents, and getting status updates.
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Fernanda
13 days ago
Absolutely, named entity recognition is essential for extracting important information from text inputs.
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Gracia
15 days ago
I agree, named entity recognition is definitely the best choice for this task.
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Mitsue
16 days ago
D) named entity recognition
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Caren
18 days ago
C) language modeling
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Shannon
26 days ago
B) translation
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Rene
29 days ago
A) sentiment analysis
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Bernardine
2 months ago
Translation? Really? Unless your customers are from another planet, I don't see how that would be helpful here. Let's keep it grounded in Earth language, shall we?
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Kanisha
1 months ago
D) named entity recognition
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Osvaldo
2 months ago
C) language modeling
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Theron
2 months ago
A) sentiment analysis
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Becky
2 months ago
Sentiment analysis could be interesting, but it doesn't seem directly relevant to the core functionality the chatbot needs. I'd save that for a later enhancement.
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Rosina
3 months ago
Language modeling could be useful for understanding the overall context and intent behind the user's input. But I'm not sure it would be enough to handle all the specific actions the chatbot needs to perform.
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Cherelle
2 months ago
D) named entity recognition
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Larae
2 months ago
A) sentiment analysis
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Pearly
2 months ago
D) named entity recognition
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Kristeen
2 months ago
A) sentiment analysis
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Roselle
3 months ago
I think named entity recognition is the way to go for this chatbot. It can help identify key pieces of information like customer names, order numbers, and product details.
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Martha
3 months ago
I'm not sure about named entity recognition, I think sentiment analysis could also be useful to understand customer feedback.
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Dean
3 months ago
I agree with Buck, named entity recognition would be the best choice to extract specific information like customer orders and order status updates.
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Buck
3 months ago
I think we should use named entity recognition for this.
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