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Pegasystems PEGAPCDS87V1 Exam Syllabus Topics:

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

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

2. The implementation of Next-Best-Action must involve

A) building a product catalog
B) defining business issue and group hierarchy
C) inclusion of third party predictive models
D) defining a prioritization formula using contact policies

3. From two chum models with the similar performance, we choose the one with the________________.

A) most evidence
B) fewest number of predictors
C) highest churn rate
D) highest number of predictors

4. A large online store wants to adapt to changing customer behavior, and at the same time does not want to get earned away by every next hype in the market. Adaptive models can help accomplish both business objectives.
Which statement about adaptive models is correct?

A) Adaptive models are regression models.
B) Adaptive models perform a scoring model calculation.
C) Adaptive models perform a spectrum model calculation.
D) Adaptive models require underlying predictive models.

5. As a Data Scientist you want to use a predictive model to detect potential churn for a telco company .
Which three options do you have? (Choose Three)

A) Create a Text extraction model
B) Import a third party PMML model
C) Create an adaptive self-learning model
D) Use a Google ML model
E) Use Pega machine learning to build a model

Solutions: