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Pegasystems PEGAPCDS87V1 Exam Syllabus Topics:

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

2. A Scoring Model allows you to differentiate between

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

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

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

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

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

Solutions: