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Pegasystems PEGAPCDS87V1 Exam Syllabus Topics:

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

Question 1

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

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

Question 2

The Prediction Studio portal supports the creation of two distinct types of predictive Scoring models are used to__________________.

A. predict binary behavior
B. differentiate between good, better and best
C. score different propositions
D. predict continuous behavior

Question 3

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

Question 4

A company wants to create a data set that includes mock-up customer add Which method is available to populate these fields?

A. Bayesian
B. Propensity
C. Import
D. Monte Carlo

Question 5

The process of importing a third-party predictive model into Pega is_____________?

A. the; same as importing a Pega predictive model
B. to first convert it into the Pega markup language
C. similar to importing an adaptive model
D. simpler than importing a Pega predictive model

Solutions: