Pegasystems PEGAPCDS87V1 Exam : Pega Certified Data Scientist (PCDS) 87V1

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Pegasystems PEGAPCDS87V1 Exam Syllabus Topics:

Pegasystems Pega Certified Data Scientist (PCDS) 87V1 Sample Questions:

1. A Scoring Model allows you to differentiate between

A) Good, Better, Best
B) Accept, Reject, Maybe Later
C) Good, Bad
D) Good, Bad, Unknown

2. An online store is interested in increasing its revenues from cross-selling and wants to predict the acceptance rate of the offers presented on their website.
A customer's propensity to accept an offer increases when___________________. .

A) the offer was accepted by similar customers
B) similar offers were rejected by the customer
C) similar offers were accepted by the customer
D) the offer was rejected by similar customers

3. When selecting the list of predictors for an adaptive model you should

A) select at least one date property
B) always use numeric type for integer properties
C) consider a wide range of properties
D) select up to a maximum of 500 predictors

4. Many companies already use third-part predictive models and want to reuse these assets in the Pega Decision Management tandscape.
Which decision component allows you to use a third-party Credit Risk Model 80% of the time and a Pega Credit Risk Model 20%?

A) Adaptive Model
B) Filter
C) Switch
D) Champion Challenger

5. Which Adaptive Model output is automatically mapped to a strategy property?

A) evidence
B) score
C) performance
D) propensity

Solutions: