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Pegasystems PEGAPCDC87V1 Exam - Topic 2 Question 35 Discussion

Actual exam question for Pegasystems's PEGAPCDC87V1 exam
Question #: 35
Topic #: 2
[All PEGAPCDC87V1 Questions]

Reference module: Leveraging predictive model.

U+, a retail bank, wants to show a retention offer to customers who are likely to leave the bank in the near future based on historical customer interaction dat

a. Which type of model do you use to implement this requirement?

Show Suggested Answer Hide Answer
Suggested Answer: C

Requirement:

U+ wants to show a retention offer to customers likely to leave the bank based on historical interaction data.

Model Types:

Entity Model: Used for recognizing entities within data.

Text Analytics Model: Used for analyzing text data.

Predictive Model: Used for making predictions based on historical data.

Adaptive Model: Used for real-time adaptation based on new data.

Suitable Model:

For predicting customer churn (likelihood of leaving), a predictive model is best suited because it leverages historical data to make future predictions.

Verification from Pega Documentation:

Pega documentation on leveraging predictive models for customer retention and churn analysis.


by Raymon at Jan 05, 2026, 05:16 AM

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Shonda
3 days ago
I'm going with C. Predictive models are the way to go when you want to forecast customer behavior.
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Trinidad
8 days ago
Definitely a predictive model. Gotta love those algorithms that can see into the future!
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Katina
13 days ago
C) A predictive model is the correct choice to implement this requirement.
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Joesph
18 days ago
I feel like an entity model might not be the best fit here, but I can't recall exactly why.
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Brandon
23 days ago
This reminds me of a practice question where we had to identify models for customer retention. I think predictive models were the right choice there too.
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Kimberely
29 days ago
I'm not entirely sure, but I remember something about adaptive models being useful for changing customer behaviors.
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Marta
1 month ago
I think we should use a predictive model since it focuses on forecasting future behaviors based on past data.
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Alona
1 month ago
For this scenario, I think a predictive model is the way to go. It can leverage the historical customer data to identify patterns and make accurate predictions.
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Candida
1 month ago
I'm a little confused - is an adaptive model also a possibility here, or is that not relevant for this use case?
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Michell
2 months ago
Definitely going with C) a predictive model. That's the clear choice to forecast customer churn and target retention offers.
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Ceola
2 months ago
Hmm, I'm a bit unsure on this one. Is a predictive model the only option, or could a text analytics model also work to analyze customer interactions?
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Noe
2 months ago
I think a predictive model would be the best approach here to identify customers likely to leave based on historical data.
upvoted 0 times
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