Pegasystems Exam PEGACPDS88V1 Topic 7 Question 22 Discussion

Actual exam question for Pegasystems's PEGACPDS88V1 exam

Question #: 22
Topic #: 7

To optimize their customer interactions, U+ Bank routes all emails that are complaints to a specialized department. To identify emails that voice a complaint, the text prediction uses___________

AAn entity extraction model

Ba topic model

Ca language model

Da sentiment model

Show Suggested Answer

Suggested Answer: A

To identify emails that voice a complaint, the text prediction usesan entity extraction model.

by Angelo at Sep 19, 2024, 02:03 PM

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William

2 months ago

I'm going with option C. A language model can probably do a better job of understanding the nuance and context in those complaints. Plus, it adds a touch of linguistic flair to the whole process.

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Denny

26 days ago

I'm leaning towards option B, a topic model, to categorize the complaints effectively.

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Shawnee

28 days ago

I agree with option D, a sentiment model, as it can detect the emotions behind the complaints.

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Nieves

2 months ago

I think option A, an entity extraction model, would be more accurate in identifying complaints.

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Shawn

2 months ago

Hmm, that's interesting. Can you explain why you think it's a sentiment model?

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Stefany

2 months ago

The sentiment model seems like the obvious choice here. I mean, who doesn't love a good old-fashioned emotional roller coaster when dealing with customer complaints?

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