PEGACPDS88V1 Exam Questions and Answers

QUESTION: 11

Adaptive model components can output__________

An option___________
An optimized strategy
The number of customer's eligible for an action
The customer's propensity to accept an action

Answer(s): D

Explanation:

Adaptive model components can output the customer's propensity to accept an action. 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: 12

An adaptive model instance is created when you________

Execute a strategy containing the adaptive model component
Open the Adaptive model management landing page
Restart the Adaptive Decision Manager Service
Save the Adaptive model rule

Answer(s): A

Explanation:

An adaptive model instance is created when you execute a strategy containing the adaptive model component. The adaptive model component references an adaptive model rule that defines the predictors and the outcome of the model. The adaptive model instance stores the data and the statistics of the model for a specific context and action.

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: 13

Which data is usually not appropriate to be used as a predictor?

Customer zip code
Historical interaction data
Customer name
Usage data

Answer(s): C

Explanation:

Customer name is usually not appropriate to be used as a predictor. A predictor is a property that influences the customer behavior and can be derived from various sources such as customer profile, interaction history, proposition details, etc. Customer name is not likely to have any impact on the customer's preferences or responses, and it may also violate privacy regulations.

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: 14

Which statement about predictive models is true?

Predictive models need historical data to be created
Predictive models need to be specified in a data attribute
Predictive models are always associated with an action
Predictive models need unstructured bie data

Answer(s): A

Explanation:

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

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QUESTION: 15

The use of an imported third-party model in a decision strategy is____

Only possible after conversion into a Pega machine learning model
Identical to the use of an adaptive model
Similar to the use of a model built with Pega machine learning
Only possible after conversion into Pega markup language

Answer(s): C

Explanation:

The use of an imported third-party model in a decision strategy is similar to the use of a model built with Pega machine learning. You can use a predictive model component in a decision strategy to reference an imported third-party model and pass the input parameters and receive the output score. You do not need to convert the third-party model into a Pega machine learning model or Pega markup language.

Reference:

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

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Pegasystems PEGACPDS88V1 Exam (page: 3) Pegasystems Certified Pega Data Scientist 8.8 Updated on: 25-Dec-2025

QUESTION: 11

Explanation:

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QUESTION: 12

Explanation:

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QUESTION: 13

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QUESTION: 14

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QUESTION: 15

Explanation:

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Pegasystems PEGACPDS88V1 Exam (page: 3)
Pegasystems Certified Pega Data Scientist 8.8
Updated on: 25-Dec-2025