Pegasystems PEGACPDS88V1 Exam Dumps

Get All Certified Pega Data Scientist 8.8 Exam Questions with Validated Answers

PEGACPDS88V1 Pack
Vendor: Pegasystems
Exam Code: PEGACPDS88V1
Exam Name: Certified Pega Data Scientist 8.8
Exam Questions: 140
Last Updated: August 20, 2026
Related Certifications: Pega Certified Data Scientist
Exam Tags: Data Scientist
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Free Pegasystems PEGACPDS88V1 Exam Actual Questions

Question No. 1

In a decision strategy, the Adaptive Model decision component belongs the

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Correct Answer: A

In a decision strategy, the Adaptive Model decision component belongs to the Decision Analytics category. This category contains components that use advanced analytics techniques, such as adaptive models, predictive models, text analytics models, etc., to make predictions or recommendations. Reference: https://academy.pega.com/module/creating-and-understanding-decision-strategies-archived/topic/decision-analytics-components


Question No. 2

Which statement about predictive models is true?

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Correct Answer: A

Predictive models need historical data to be created. Predictive models are statistical models that use historical data to learn patterns and trends and make predictions for future outcomes. Predictive models can be built with Pega machine learning or imported from third-party tools such as PMML or H2O. Reference: https://community.pega.com/sites/default/files/help_v82/procomhelpmain.htm#rule-/rule-decision-/rule-decision-predictivemodel/main.htm


Question No. 3

When building a predictive model, in which development step is the regression model created?

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Correct Answer: D

Question No. 4

To create channel-specific Adaptive Model instances, you____________

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Correct Answer: D

Question No. 5

The Adaptive Model output that is automatically mapped to a strategy property is_________.

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Correct Answer: B

The adaptive model output that is automatically mapped to a strategy property is propensity, which indicates the likelihood that the customer will accept or respond to an offer. Propensity is also known as behavior or probability in decision strategies. Reference: https://academy.pega.com/module/predicting-customer-behavior-using-real-time-data-archived/topic/using-adaptive-models-decision


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