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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.


Contribute your Thoughts:

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Layla
1 day ago
I thought entity models were more relevant for this?
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Isadora
6 days ago
Wait, could it be an adaptive model instead?
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Novella
11 days ago
I agree, C is the way to go.
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Stefan
17 days ago
Definitely a predictive model!
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Josue
22 days ago
Haha, an "adaptive model"? What is this, a sentient AI taking over the bank?
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Fletcher
27 days ago
Option C is the way to go. Predictive models are like crystal balls for businesses.
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Shonda
2 months 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
2 months ago
Definitely a predictive model. Gotta love those algorithms that can see into the future!
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Katina
2 months ago
C) A predictive model is the correct choice to implement this requirement.
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Joesph
2 months 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
2 months 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
2 months ago
I'm not entirely sure, but I remember something about adaptive models being useful for changing customer behaviors.
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Marta
3 months 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
3 months 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
3 months 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
3 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
3 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
3 months ago
I think a predictive model would be the best approach here to identify customers likely to leave based on historical data.
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