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

Limited Time Offer

25%

Off

Get Premium PEGACPDS88V1 Questions as Interactive Web-Based Practice Test or PDF

Contribute your Thoughts:

Submit Cancel

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.

upvoted 0 times

Denny

1 months ago

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

upvoted 0 times

...

Shawnee

1 months ago

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

upvoted 0 times

...

Nieves

2 months ago

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

upvoted 0 times

...

Shawn

3 months ago

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

upvoted 0 times

...

Stefany

3 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?

upvoted 0 times