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

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

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

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

3. According to Forrester, it is far more expensive to attract new customers than it is to prevent existing customers from leaving.
Which model type do you use to predict if a customer is likely to churn?

A) Categorization model
B) Adaptive model
C) Extraction model
D) Predictive model

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

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

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

Solutions: