PCDS Version 8.7 PEGAPCDS87V1 Practice Test Questions

PCDS Version 8.7 PEGAPCDS87V1 Practice Test Questions
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The latest PCDS Version 8.7 PEGAPCDS87V1 Practice Test Questions are new cracked for your Pega Certified Data Scientist (PCDS) 87V1 exam, the old version PEGAPCDS86V1 is retired on May 31, 2022. PassQuestion provides the latest PCDS Version 8.7 PEGAPCDS87V1 Practice Test Questions that will help you get a clear idea of the real exam scenario when you are attempting Pegasystems PEGAPCDS87V1 exam. It will help you build confidence and you will be able to find out important tips to attempt your PEGAPCDS87V1 exam. By using our PCDS Version 8.7 PEGAPCDS87V1 Practice Test Questions, you will be able to clear your Pega Certified Data Scientist (PCDS) 87V1 exam on the first attempt. 

PCDS Version 8.7 PEGAPCDS87V1 Practice Test Questions

Pega Certified Data Scientist (PCDS) 87V1

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 Process AI, Pega Customer Decision Hub and Pega Customer Service. The PCDS certification ensures you become familiar with Pega’s next-best-action paradigm, have the skills to build predictions that use predictive, adaptive and text analytics models. You will also gain experience in leveraging the predictions in case management as well as in a 1:1 customer engagement context.

The PCDS Version 8.7 exam includes multiple choice and scenario questions. If multiple answers are required, the text states how many responses are needed.

PCDS Version 8.7 Certification Path:

Exam Code: PEGAPCDS87V1
Type of Exam: 50 question exam
Length: 90 minutes
Passing Grade: 70%
Language: English
Prerequisites: Data Scientist

Exam Topics

Next-Best-Action (4%)

Introducing Pega to data scientists

Decision Strategies (16%)

Understanding decisioning logic
Arbitrating between customer actions

Predictive Analytics (30%)

Building predictive models
Updating predictions with MLOps

Adaptive Analytics (34%)

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

Text Analytics (8%)

Utilizing text analytics for email routing

Pega Process AI (8%)

Creating fraud predictions
Creating case completion predictions

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