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

2. Which two factors do you inspect to assess the general health of the adaptive models in Prediction Studio? (Choose Two.)

A) Number of decisions
B) Performance of the models
C) Insights
D) Model transparency

3. The decision components used on the strategy canvas can be individually configured Which function is available when configuring the Group By component?

A) Average
B) Multiply
C) Divide
D) True if Some

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

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

5. 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) Pegs machine learning model
C) Text extraction model
D) Adaptive model

Solutions: