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Pegasystems PEGAPCDS87V1 Exam Syllabus Topics:

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

1. What is the key characteristic that Next-Best-Action must consider to satisfy customer needs?

A) Service
B) Mobility
C) Relevancy
D) Fraud

2. When building a predictive model, what is a valid predictor data type?

A) Symbolic
B) Character
C) String
D) Boolean

3. 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 categorization model
C) Text extraction model
D) Adaptive model

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

5. In a decision strategy, to import actions you use a(n)_____________________.

A) Import data component
B) Data import component
C) Offer data component
D) Proposition data component

Solutions: