QUESTION: 61

The likelihood that a proposition will be accepted by the customer is stored in the strategy property called_______.

pyPropensity
pyLikelihood
pyProbability
pyBehavior

Answer(s): D

Explanation:

The likelihood that a proposition will be accepted by the customer is stored in the strategy property called pyBehavior. This property is calculated by an adaptive model or a predictive model and reflects the customer's propensity to respond to an offer.

Reference:

https://academy.pega.com/module/creating-and-understanding-decision-strategies- archived/topic/using-predictions-decision

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QUESTION: 62

Two results of an adaptive model are

Priority and Propensity
Priority and Evidence
Propensity and Performance
Propensity and Rank

Answer(s): C

Explanation:

Two results of an adaptive model are propensity and performance. Propensity is the probability that the customer will accept or respond to an offer. Performance is a measure of how well the adaptive model predicts customer behavior over time.

Reference:

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

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QUESTION: 63

Predictive Analytics is a________________

real time predictive dashboard
method of visualizing our data___________________
science concerned with finding repeatable patterns in
query, reporting and a search tool

Answer(s): C

Explanation:

Predictive analytics is a branch of data science that uses statistical techniques and machine learning algorithms to find repeatable patterns in data and make predictions about future outcomes or behaviors.

Reference:

https://academy.pega.com/module/predictive-analytics/topic/predictive- analytics-overview

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QUESTION: 64

When compared to a Predictive Model, an Adaptive Model is different as it_____________

can use strategy properties as predictors
considers both symbolic and numeric predictors
learns from both positive and negative outcomes
uses predictor binning

Answer(s): A

Explanation:

An adaptive model is different from a predictive model as it can use strategy properties as predictors. Strategy properties are dynamic values that are calculated or derived during the execution of a decision strategy. They can capture customer context, such as channel, location, time, etc.

Reference:

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

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Free PEGACPDS88V1 Exam Braindumps (page: 17)

QUESTION: 61

Explanation:

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QUESTION: 62

Explanation:

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QUESTION: 63

Explanation:

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QUESTION: 64

Explanation:

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