Want to pass PEGAPCDS80V1_2020 Pega Certified Data Scientist (PCDS) Version 8 (2020) exam? Passcert provides the latest Pegasystems PEGAPCDS80V1_2020 Dumps which contain real PEGAPCDS80V1_2020 Q&As and comprises the information that can be asked in actual exam. Passcert Pegasystems PEGAPCDS80V1_2020 Dumps deliver you practice tests that have been made to introduce you to the real exam format. Taking these tests also helps you to revise the syllabus and maximize your success prospects.

The Pega Certified Data Scientist (PCDS) certification exam is for data scientists who wish to acquaint themselves with the skills and knowledge needed to successfully apply AI in Pega Customer Decision Hub. The PCDS certification ensures you become familiar with Pega’s Next-Best-Action paradigm, have the skills to build and simulate decision strategies and use predictive, adaptive and text analytics in those strategies.

Exam Code: PEGAPCDS80V1_2020

Type of Exam: 50 question exam

Length: 90 minutes

Passing Grade: 70%

LANGUAGES: English 

● Introducing Pega to data scientists

● Understanding decisioning logic

● Arbitrating between customer actions

● Building predictive models

● Using third party predictive models

● Predicting customer behavior using real-time data

● Demonstrating adaptive learning

● Quantifying the impact of machine learning

● Utilizing text analytics for email routing

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

A. most evidence

B. highest churn rate

C. highest number of predictors

D. fewest number of predictors

Evidence and assessment of itsviability, the Adaptive Model produces three outputs: Propensity, Performance and What is evidence in the context of an Adaptive Model?

A. The likelihood of a statistically similar behavior

B. The number of customers who exhibited statistically similar behavior

C. The number of customers who have responded to the modeled offer

D. The number of statistical bins used to evaluate the response

The implementation of Next-Best-Action must involve

A. inclusion of third party predictive models

B. defining business issue and group hierarchy

C. defining a prioritization formula using contact policies

D. building a product catalog

Which component(s) do you use to calculate the average margin of four actions?

A. one Set Property component

B. one Group By component

C. four Group By components

D. four Set Property components

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

A. Symbolic

B. Boolean

C. String

D. Character