Pegasystems Exam PEGACPDS88V1 Topic 6 Question 35 Discussion

Actual exam question for Pegasystems's PEGACPDS88V1 exam

Question #: 35
Topic #: 6

A company wants to create a data set that includes mock-up customer add which method is available to populate these fields?

APropensity

BBayesian

CMonte Carlo

DImport

Show Suggested Answer

Suggested Answer: C

The Monte Carlo method is a way to create a data set that includes mock-up customer data. You can use this method to generate random values for customer properties, such as age, gender, income, etc., based on predefined probabilities and distributions. Reference: https://academy.pega.com/module/demonstrating-adaptive-learning-archived/topic/creating-monte-carlo-data-set

by Wai at Apr 30, 2025, 09:23 AM

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Francisca

2 days ago

Hmm, I'm torn between A) Propensity and D) Import. Propensity modeling could be interesting, but importing the data is probably the most straightforward approach. Unless they're feeling adventurous and want to try out some 'Monte Carlo magic' instead.

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Cassie

3 days ago

D) Import all the way! Why reinvent the wheel when you can just bring in the data you need? Though I do hope they remember to sanitize it first. You never know what kind of weird stuff might be lurking in those customer records.

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Daniela

5 days ago

I'm going to have to go with B) Bayesian. It's a powerful technique that could help create a more accurate customer data set. Though I'm not sure it's the 'available' method they're looking for.

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1 months ago

I think the correct answer is D) Import. Importing data from external sources seems like the most straightforward way to populate the mock-up customer data set.

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Wenona

11 days ago

I agree, D) Import seems like the most efficient method to populate the mock-up customer data set.

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