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

1. U+ Bank has a chat bot to service its customers. When customers initiate a chat, they are asked to describe the issue they would like to resolve. U+ Bank wants to increase customer satisfaction by assigning the support agent from the correct department to help the customer.
As a data scientist, you need to create a model which will predict the correct department based on the customer's input. To do this you build a_______________.

A) Adaptive model
B) Text categorization model
C) Text extraction model
D) Pegs machine learning model

2. To which property is the output of a PMML model automatically mapped?

A) pxSegment
B) pxOutcome
C) pxPMMLOutputd
D) pxResult

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

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

4. 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) similar offers were rejected by the customer
D) the offer was rejected by similar customers

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

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

Solutions: