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Pegasystems Pega PCDS PEGAPCDS87V1

PEGAPCDS87V1

Exam Code: PEGAPCDS87V1

Exam Name: Pega Certified Data Scientist (PCDS) 87V1

Updated: Jul 22, 2026

Q&A Number: 50 Q&As

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PEGAPCDS87V1 exam dumps

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Pegasystems PEGAPCDS87V1 Exam Syllabus Topics:

SectionObjectives
Topic 1: Next-Best-Action Concepts- Core decisioning principles
  • 1. Understanding the next-best-action paradigm
  • 2. Introducing Pega to data scientists
Topic 2: Text Analytics / NLP- Leveraging text analytics
  • 1. Using text analytics for email routing
  • 2. Applying NLP outputs within decision strategies
Topic 3: Adaptive Analytics- Adaptive model usage
  • 1. Predicting customer behaviour using real-time data
  • 2. Monitoring adaptive learning outcomes
Topic 4: Pega Process AI- Process AI fundamentals
  • 1. Using Process AI for case completion predictions
  • 2. Creating predictions for fraud detection
Topic 5: Decision Strategies- Developing and evaluating decision strategies
  • 1. Arbitrating between customer actions
  • 2. Understanding decisioning logic
Topic 6: Predictive Analytics- Creating predictive models
  • 1. Updating predictions with MLOps practices
  • 2. Building predictive analytics models

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

1. The Adaptive Model component in a strategy computes

A) a single accept rate for all actions
B) a propensity value for each action
C) a unique accept rate for each action
D) a single propensity value for all actions


2. A Scoring Model allows you to differentiate between

A) Accept, Reject, Maybe Later
B) Good, Bad
C) Good, Better, Best
D) Good, Bad, Unknown


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

A) four Group By components
B) four Set Property components
C) one Group By component
D) one Set Property component


4. According to Forrester, it is far more expensive to attract new customers than it is to prevent existing customers from leaving.
Which model type do you use to predict if a customer is likely to churn?

A) Predictive model
B) Extraction model
C) Adaptive model
D) Categorization model


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

A) Historical interaction data
B) Usage data
C) Customer name
D) Customer zip code


Solutions:

Question # 1
Answer: C
Question # 2
Answer: B
Question # 3
Answer: B
Question # 4
Answer: A
Question # 5
Answer: D

PEGAPCDS87V1 Related Exams
PEGACPDS88V1 - Certified Pega Data Scientist 88V1
PEGAPCDS80V1_2020 - Pega Certified Data Scientist (PCDS) 80V1 2020
Related Certifications
Pega PCBA
CRSA - Robotic System Architect
Pega CPBA
Pega PCDS
Certified System Architect
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