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

1. 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 extraction model
B) Adaptive model
C) Text categorization model
D) Predictive model

2. In a decision strategy, in order to select the proposition with the highest propensity, you use a

A) Switch component, and sort propensity from lowest to highest
B) Priorities component, and sort propensity from lowest to highest
C) Switch component, and sort propensity from highest to lowest
D) Priorities component, and sort propensity from highest to lowest

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

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

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

5. You are a company with a new and unique product, and you want to offer it to the right customer.
Given the scenario, which rule type should you use?

A) Scorecard
B) Decision Table
C) Adaptive Model
D) Predictive Model

Solutions: