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Pegasystems PEGAPCDS87V1 Exam Syllabus Topics:

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

1. When building a predictive model, what is a valid predictor data type?

A) Character
B) String
C) Boolean
D) Symbolic

2. Which business objective is best suited for the Next-Best-Action approach?

A) Employee satisfaction
B) Growth
C) Change Management
D) Productivity

3. 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) the offer was rejected by similar customers
C) similar offers were accepted by the customer
D) similar offers were rejected by the customer

4. Which data is usually not appropriate to be used as a predictor?

A) Customer zip code
B) Customer name
C) Usage data
D) Historical interaction data

5. 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) Filter
B) Adaptive Model
C) Champion Challenger
D) Switch

Solutions: