Pegasystems Pega Certified Data Scientist (PCDS) 87V1 : PEGAPCDS87V1

  • Exam Code: PEGAPCDS87V1
  • Exam Name: Pega Certified Data Scientist (PCDS) 87V1
  • Updated: Sep 07, 2026   Q&As: 50 Questions and Answers
  • Q & A: 50 Questions and Answers

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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. Applying NLP outputs within decision strategies
  • 2. Using text analytics for email routing
Topic 3: Pega Process AI- Process AI fundamentals
  • 1. Using Process AI for case completion predictions
  • 2. Creating predictions for fraud detection
Topic 4: Adaptive Analytics- Adaptive model usage
  • 1. Monitoring adaptive learning outcomes
  • 2. Predicting customer behaviour using real-time data
Topic 5: Predictive Analytics- Creating predictive models
  • 1. Updating predictions with MLOps practices
  • 2. Building predictive analytics models
Topic 6: Decision Strategies- Developing and evaluating decision strategies
  • 1. Understanding decisioning logic
  • 2. Arbitrating between customer actions
Pegasystems Pega Certified Data Scientist (PCDS) 87V1 Sample Questions:
Question #1

In a decision strategy, in order to select the proposition with the highest propensity, you use a

  • A. Switch component, and sort propensity from highest to lowest
  • B. Switch component, and sort propensity from lowest to highest
  • C. Priorities component, and sort propensity from lowest to highest
  • D. Priorities component, and sort propensity from highest to lowest
Answer: D
Question #2

A company wants to simulate decisions that requires large amounts of data. However, the organisation's live data is inaccessible. Your advice is to use a Monte Carlo data set.
The Monte Carlo method________________

  • A. makes the organisation's live data accessible
  • B. generates data that the company can use as input for adaptive decisioning
  • C. combines external data sets into a larger data set
  • D. enables the company to generate random data for most of its application needs
Answer: D
Question #3

Many companies already use third-part predictive models and want to reuse these assets in the Pega Decision Management tandscape.
Which decision component allows you to use a third-party Credit Risk Model 80% of the time and a Pega Credit Risk Model 20%?

  • A. Adaptive Model
  • B. Switch
  • C. Champion Challenger
  • D. Filter
Answer: A
Question #4

When defining outcomes for an Adaptive Model you must define_________________.

  • A. one or more positive behavior values
  • B. only negative behavior values
  • C. behavior values to be ignored
  • D. positive, negative and neutral behavior values
Answer: B
Question #5

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

  • A. Customer name
  • B. Historical interaction data
  • C. Customer zip code
  • D. Usage data
Answer: C

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