Question 1

Evidence an assessment of its viability, the Adaptive Model produces three outputs: Propensity, Performance and what is evidence in the context of an Adaptive Model? Performance and what is evidence in the context of an Adaptive Model?

Options :

A : The likelihood of a statistically similar behavior

B : The number of customers who exhibited statistically similar behavior

C : The number of customers who have responded to the modeled offer

D : The number of statistical bins used to evaluate the response

Answer: B

Question 2

The management team at U+ Insurance wants to improve the experience of dissatisfied customers. The

customers send the feedback through email.

To detect the sentiment of the incoming emails, which type of prediction do you need to configure in

Prediction Studio?

Options :

A : Pega Customer Decision Hub™ prediction.

B : Sentiment detection does not require any predictions.

C : Case management prediction.

D : Text analytics prediction.

Answer: D

Question 3

Acquiring new customers can be more costly than retaining active customers. U+ Bank uses Pega Customer

Decision Hub for its customer engagement and wants to reduce the churn rate by identifying high churn risk

customers and making them a retention offer.

To meet this requirement, which two artifacts created by a data scientist allow the NBA specialist to

implement the decision strategy? (Choose Two)

Options :

A : A prediction

B : A predictive model

C : A control group

D : An adaptive model

Answer: B,C

Question 4

To enable an assessment of its reliability, the Adaptive Model produces three outputs: Propensity, Performance and Evidence. The performance of an Adaptive Model that has not collected any evidence is_________.

Options :

A : 1-0

B : null

C : 0.5

D : 0.0

Answer: C

Question 5

Using Prediction Studio to build Pega machine learning models on historical data, you can build two types of models:____________and____________. (Choose Two)

Options :

A : voice to text model

B : continuous models

C : binary models

D : adaptive models

Answer: C,D

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