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Question 1

U+ Bank, a retail bank, offers the Standard card, the Rewards card and the Rewards Plus card to its customers. The bank wants to display the banner for the offer that each customer is most likely to click; therefore, their Arbitration uses Propensity from the AI models. If you are debugging the Next-Best-Action decision strategy, which strategy component will show you if the result of the Arbitration is correct?

Options :

A : Filter

B : Group By

C : Set Property

D : Prioritize

Answer: D

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

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 4

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

Question 5

U+ Bank introduces a new credit card that has no historical customer behavior data. U+ Bank wants to offer this credit card on the personalized web portal. Given the scenario, which rule type must you use?

Options :

A : Decision table

B : When rule

C : Adaptive model

D : Pega machine learning model

Answer: C