Pega Certified Data Scientist PEGAPCDS80V1_2020 Exam Questions

  Edina  11-12-2020

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PEGAPCDS80V1_2020 Exam Overview - Pega Certified Data Scientist (PCDS) 80V1 2020 

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 Information:

Exam Code: PEGAPCDS80V1_2020
Type of Exam: 50 question exam
Length: 90 minutes
Passing Grade: 70%
LANGUAGES: English 

PCDS Version 8 (2020) Exam Topics:

Next-Best-Action (8%)

  • Introducing Pega to data scientists

Decision Strategies (26%)

  • Understanding decisioning logic
  • Arbitrating between customer actions

Predictive Analytics (22%)

  • Building predictive models
  • Using third party predictive models

Adaptive Analytics (34%)

  • Predicting customer behavior using real-time data
  • Demonstrating adaptive learning
  • Quantifying the impact of machine learning

Text Analytics (10%)

  • Utilizing text analytics for email routing

View Online PCDS Version 8 (2020) PEGAPCDS80V1_2020 Free Questions

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
Answer: B

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
Answer: C

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
Answer: B

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
Answer: D

When building a predictive model, what is a valid predictor data type?
A. Symbolic
B. Boolean
C. String
D. Character
Answer: A

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