PEGACPDS88V1 Exam Questions and Answers

QUESTION: 6

Which adaptive model output is automatically mapped to a strategy property?

Performance
Score
Propensity
Evidence

Answer(s): C

Explanation:

Propensity is the adaptive model output that is automatically mapped to a strategy property. Propensity is the likelihood of a positive response for a given action and predictor profile. It ranges from 0 to 100.

Reference:

https://community.pega.com/sites/default/files/help_v82/procomhelpmain.htm#rule-/rule- decision-/rule-decision-adaptivemodel/main.htm

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QUESTION: 7

When selecting the list of predictors for an adaptive model you should

Select up to a maximum of 500 predictors
Consider properties from a wide range of sources
Always use numeric type for integer properties
Select at least one date property

Answer(s): B

Explanation:

When selecting the list of predictors for an adaptive model you should consider properties from a wide range of sources. Predictors are properties that influence the customer behavior and can be derived from various sources such as customer profile, interaction history, proposition details, etc.

Reference:

https://community.pega.com/sites/default/files/help_v82/procomhelpmain.htm#rule- /rule-decision-/rule-decision-adaptivemodel/main.htm

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QUESTION: 8

What happens when you increase the performance threshold setting of an adaptive model rule?

The number of active predictors increases
The performance of the model is increased
The correlation threshold decreases
The number of active predictors may decrease

Answer(s): D

Explanation:

When you increase the performance threshold setting of an adaptive model rule, the number of active predictors may decrease. The performance threshold is the minimum performance that a predictor must have to be included in the model. If you increase this value, some predictors may not meet the criteria and be excluded from the model.

Reference:

https://community.pega.com/sites/default/files/help_v82/procomhelpmain.htm#rule-/rule- decision-/rule-decision-adaptivemodel/main.htm

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QUESTION: 9

Which two factors do you inspect to access the general health of the adaptive models in Prediction Studio? (Choose Two)

Performance of the models
Number of responses
Number of decisions
Model transparency

Answer(s): A,D

Explanation:

These factors indicate how accurate and explainable the models are, which are key measures of model health. The number of responses and decisions are related more to model usage rather than health.

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QUESTION: 10

Lift is key metric for the performance of the adaptive models.
To measure lift, you need a____________

Standard model as a benchmark
Control group with random actions
Control group with a new action
New adaptive model

Answer(s): B

Explanation:

Lift is a key metric for the performance of the adaptive models. To measure lift, you need a control group with random actions. Lift is the ratio of the performance of the adaptive model to the performance of the control group. A control group is a subset of customers who receive random actions instead of the ones suggested by the model.

Reference:

https://community.pega.com/sites/default/files/help_v82/procomhelpmain.htm#data-/data-adm- /data-adm-model/main.htm

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Pegasystems PEGACPDS88V1 Exam (page: 2) Pegasystems Certified Pega Data Scientist 8.8 Updated on: 12-Feb-2026

QUESTION: 6

Explanation:

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QUESTION: 7

Explanation:

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QUESTION: 8

Explanation:

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QUESTION: 9

Explanation:

QUESTION: 10

Explanation:

Reference:

Pegasystems PEGACPDS88V1 Exam (page: 2)
Pegasystems Certified Pega Data Scientist 8.8
Updated on: 12-Feb-2026