Pegasystems PEGACPDS88V1 Exam - Topic 7 Question 45 Discussion

Actual exam question for Pegasystems's PEGACPDS88V1 exam

Question #: 45
Topic #: 7

A telecom company is interested in improving customer engagement on social medi

a. However, there are hundreds of relevant messages posted every day, and it is not practical for customer service representatives (CSRs) to review and respond to all messages. Instead, CSRs should focus on negative messages. What do you need to analyze the incoming messages?

CText categorization model

DText extraction model

BAdaptive model

APredictive model

Show Suggested Answer

Suggested Answer: C

A text categorization model is a type of text analytics model that can analyze the incoming messages and assign them to predefined categories, such as positive, negative, or neutral sentiment. This way, CSRs can focus on negative messages that require immediate attention or escalation. Reference: https://academy.pega.com/module/text-analytics/topic/creating-text-categorization-model

by Lashaunda at Jan 22, 2026, 05:09 PM

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Joana

5 days ago

I'm not entirely sure, but I remember something about using keywords to identify issues. Maybe we could create a list of common complaints?

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Lili

10 days ago

I think we need to implement some sort of sentiment analysis tool to filter out the negative messages from the positive ones.

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Edmond

15 days ago

This is a great opportunity to apply some of the concepts we've learned. I'm feeling pretty confident I can come up with a solid approach to tackle this problem.

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Aileen

20 days ago

Sounds like we need a robust text analytics solution to handle this. I'll need to research the latest techniques in natural language processing and machine learning.

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