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Pegasystems PEGACPDS88V1 Exam
Certified Pega Data Scientist 8.8 (Page 3 )

Updated On: 7-Feb-2026
Page 3 of 29
PDF with 140 Questions

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

  1. Performance
  2. Score
  3. Propensity
  4. 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



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

  1. Select up to a maximum of 500 predictors
  2. Consider properties from a wide range of sources
  3. Always use numeric type for integer properties
  4. 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



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

  1. The number of active predictors increases
  2. The performance of the model is increased
  3. The correlation threshold decreases
  4. 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



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

  1. Performance of the models
  2. Number of responses
  3. Number of decisions
  4. 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.



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

  1. Standard model as a benchmark
  2. Control group with random actions
  3. Control group with a new action
  4. 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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