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

2. You are the Decisioning Consultant on an Al-powered one-to-one Customer Engagement implementation project. You are asked to design the Next-Best-Action prioritization expression that balances the customer needs with the business objectives.
What factors do you consider in the prioritization expression?

A) customer contact rules
B) product eligibility rules
C) product compatibility rules
D) business levers

3. As a Data Scientist you want to use a predictive model to detect potential churn for a telco company .
Which three options do you have? (Choose Three)

A) Use Pega machine learning to build a model
B) Import a third party PMML model
C) Create a Text extraction model
D) Use a Google ML model
E) Create an adaptive self-learning model

4. A company wants to simulate decisions that requires large amounts of data. However, the organisation's live data is inaccessible. Your advice is to use a Monte Carlo data set.
The Monte Carlo method________________

A) enables the company to generate random data for most of its application needs
B) combines external data sets into a larger data set
C) makes the organisation's live data accessible
D) generates data that the company can use as input for adaptive decisioning

5. The Filter component is used to filter________________,

A) action
B) customers
C) attributes
D) adaptive models

Solutions: