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Free PEGACPDS88V1 Exam Braindumps (page: 18)

Page 17 of 36
PDF with 140 Questions

What is the difference between predictive and adaptive analytics?

  1. Predictive models can predict a continuous value.
  2. Predictive models predict customer behavior.
  3. Adaptive models use the customer data as predict*
  4. Predictive models have evidence.

Answer(s): C

Explanation:

The difference between predictive and adaptive analytics is that adaptive models use the customer data as predictors, while predictive models use the customer data as outcomes. Adaptive models learn from real-time customer interactions and update their predictions accordingly. Predictive models use historical customer data to train and validate their predictions.


Reference:

https://academy.pega.com/module/predicting-customer-behavior-using-real-time-data- archived/topic/adaptive-models-overview



The mapping of the input fields of a third-party predictive model is done in the

  1. Predictive Model decision component
  2. Predictive Model rule
  3. Predictive Analytics Director portal
  4. Customer class definition

Answer(s): B

Explanation:

The mapping of the input fields of a third-party predictive model is done in the Predictive Model rule. The Predictive Model rule defines how to invoke and interpret the results of a third-party predictive model that is imported in PMML format.


Reference:

https://academy.pega.com/module/predictive-analytics/topic/using-pmml-models



Pega Adaptive Models_________

  1. involve a significant human effort to develop
  2. require historical data_________________
  3. learn about customer behavior in real time
  4. can only be used in inbound channels

Answer(s): C

Explanation:

Pega adaptive models learn about customer behavior in real time by analyzing the responses to each offer and updating their predictions accordingly. They do not require historical data, human effort, or inbound channels to function.


Reference:

https://academy.pega.com/module/predicting-customer- behavior-using-real-time-data-archived/topic/adaptive-models-overview



Which value is output by an Adaptive Model?

  1. Score
  2. Performance
  3. Behavior
  4. Lift

Answer(s): C

Explanation:

The value that is output by an adaptive model is behavior, which indicates the likelihood that the customer will accept or respond to an offer. Behavior is also known as propensity 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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