PEGACPDS88V1 exam

A Scoring Model allows you to differentiate betweenA . Accept, Reject, Maybe LaterB . Good, BadC . Good, Better, BestD . Good, Bad, UnknownView AnswerAnswer: C Explanation: A scoring model allows you to differentiate between Good, Better, and Best outcomes for a given proposition or action. A scoring model assigns...

Which value is output by an Adaptive Model?A . ScoreB . PerformanceC . BehaviorD . LiftView AnswerAnswer: A Explanation: An Adaptive Model outputs a score, which is a quantified estimate of a certain behavior, such as the likelihood of a customer to accept an offer or the likelihood of a...

What type of a predictor can you use in an adaptive model?A . SymbolicB . IntegerC . Page TypeD . LogicalView AnswerAnswer: B Explanation: Integer type predictors can be used in an adaptive model, as they represent quantifiable or measurable attributes.

The outcome of a scoring model indicates the likelyA . write-off value of an arrears caseB . claim value of a health insuranceC . period in which a spare part has to be replacedD . response to an offerView AnswerAnswer: D Explanation: The outcome of a scoring model indicates the...

Predictions combine predictive analytics and best practices in data science. As a data scientist, what is a valid reason to adjust the default response timeout in a prediction?A . Suit the use caseB . Optimize the success rateC . Increase liftD . Limit the number of responsesView AnswerAnswer: A Explanation:...

To optimize their customer interactions, U+ Bank routes all emails that are complaints to a specialized department. To identify emails that voice a complaint, the text prediction uses___________A . An entity extraction modelB . a topic modelC . a language modelD . a sentiment modelView AnswerAnswer: B Explanation: Topic models...

Adaptive model components can output__________A . An option___________B . An optimized strategyC . The number of customer's eligible for an actionD . The customer's propensity to accept an actionView AnswerAnswer: D Explanation: Adaptive model components can output the customer’s propensity to accept an action. Propensity is the likelihood of a...

When implementing Next-Best-Action, the Customer Lifetime Value Threshold is typically used to_________.A . prioritize high value propositionsB . prioritize customersC . determine if the customer is eligibleD . calculate the customer's lifetime valueView AnswerAnswer: B Explanation: The Customer Lifetime Value Threshold is typically used to prioritize customers based on their...

U+ Insurance uses Pega Process AI™ to route complex claims to an expert. As a data scientist, you have used the wizard to create a prediction with Case completion as the outcome to help with decision routing. You are tasked with monitoring the adaptive models. When you open the monitoring...

An adaptive adaptive model component in a decision: propensity, performance, evidence, and positives. What is evidence in the context of an adaptive model?A . The likelihood of a statistically similar behaviorB . The number of customers who exhibited statistically similar behaviorC . The number of statistical bins that arc generated...