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

2. In a strategy defined in the "Retention" issue and the "X-Sell" group, you can import

A) propositions from the Sales issue
B) all propositions from the system
C) propositions from "X-Sell" group
D) propositions from all groups under the "Retention" issue

3. A telecom company is interested in improving customer engagement on social media. However, there are hundreds of relevant messages posted every day, and it is not practical for customer service representatives (CSRs) to review and respond to all messages. Instead, CSRs should focus on negative messages.
What do you need to analyze the incoming messages?

A) Text categorization model
B) Text extraction model
C) Adaptive model
D) Predictive model

4. The Adaptive Model component in a strategy computes

A) a unique accept rate for each action
B) a single propensity value for all actions
C) a single accept rate for all actions
D) a propensity value for each action

5. Which property is automatically recomputed for each decision component?

A) Priority
B) Rank
C) Order
D) Propensity

Solutions: