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PEGACPDS88V1 Dumps - Certified Pega Data Scientist 8.8 Practice Exam Questions

Pegasystems PEGACPDS88V1 - Certified Pega Data Scientist 8.8 Braindumps

Pegasystems PEGACPDS88V1 - PCDS Practice Exam

  • Certification Provider:Pegasystems
  • Exam Code:PEGACPDS88V1
  • Exam Name:Certified Pega Data Scientist 8.8 Exam
  • Total Questions:140 Questions and Answers
  • Updated on:Nov 23, 2024
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Pegasystems PEGACPDS88V1 This Week Result

PEGACPDS88V1 Question and Answers

Question # 1

MyCo, a telecommunications company, wants to implement one-to-one customer engagement using Pega Customer Decision Hub™. Which three of the following real-time channels can the company use to present Next-Best-Actions? (Choose Three)

Options:

A.  

Call center

B.  

Billboard on the company building

C.  

Retail store

D.  

SMS

E.  

Traditional television advertisements

Discussion 0
Question # 2

The purpose of model templates when using Pega machine learning is

Options:

A.  

to set the model outcomes

B.  

to set the model context

C.  

to streamline model deployment

D.  

to streamline model development

Discussion 0
Question # 3

Which data is usually not appropriate to be used as a predictor?

Options:

A.  

Customer zip code

B.  

Historical interaction data

C.  

Customer name

D.  

Usage data

Discussion 0

PDF vs Software Version

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PEGACPDS88V1 FAQs

The Certified Pega Data Scientist certification exam typically lasts for about 90 minutes to 2 hours.

To pass the Certified Pega Data Scientist exam, it's essential to thoroughly study the exam objectives and topics, practice with sample questions, and gain hands-on experience with Pega's tools and platforms.

The passing score required for the Certified Pega Data Scientist certification exam may vary but typically ranges around 70% to 75%.

Candidates are usually allocated around 90 minutes to 2 hours to complete the Certified Pega Data Scientist exam.

The AI for Customer Decision Hub section of the exam covers topics such as machine learning algorithms, predictive modeling, and optimization techniques used in customer decision-making processes.

The certification exam evaluates candidates' understanding of Customer Decision Hub predictions by assessing their knowledge of predictive analytics methodologies, model building techniques, and interpreting model results within the Pega platform.

The Adaptive Analytics section of the exam focuses on candidates' ability to leverage adaptive analytics tools and techniques within the Pega platform to drive personalized customer interactions and improve decision-making processes.

The governance aspect in the certification exam assesses candidates' understanding of data governance principles, regulatory compliance requirements, and best practices for managing and securing data within the Pega ecosystem.

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