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

  • Exam Code: PEGAPCDS87V1
  • Exam Name: Pega Certified Data Scientist (PCDS) 87V1
  • Updated: Aug 03, 2026     Q & A: 50 Questions and Answers

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Pegasystems PEGAPCDS87V1 Exam Syllabus Topics:

SectionObjectives
Data Preparation- Feature engineering for predictive models
- Data cleansing and transformation
Pega Decisioning and AI Integration- Adaptive models and decision strategies
- Embedding predictive analytics in Pega applications
Data Sets and Integration- Data flows and dataset configuration
- External data integration with Pega platform
Data Understanding- Data sources and data types in Pega
- Exploratory data analysis concepts
Predictive Analytics- Predictive model types in Pega (classification, regression)
- Model training and evaluation

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

1. When a new component is added to the strategy canvas, its Rank value will be

A) One higher than the current highest Rank
B) Not set
C) 0
D) 1


2. When building a predictive model, what is a valid predictor data type?

A) Boolean
B) String
C) Symbolic
D) Character


3. A company uses a Monte Carlo data set containing customer information for testing. They want to extend the data model to include all credit card product usage data. Customers may have multiple cards.
To extend the customer data model with the credit card product usage data, you need to______________..

A) create a Provider
B) add a Group
C) add a Field
D) merge customer and credit card data


4. When defining outcomes for an Adaptive Model you must define_________________.

A) behavior values to be ignored
B) only negative behavior values
C) positive, negative and neutral behavior values
D) one or more positive behavior values


5. A large online store wants to adapt to changing customer behavior, and at the same time does not want to get earned away by every next hype in the market. Adaptive models can help accomplish both business objectives.
Which statement about adaptive models is correct?

A) Adaptive models perform a spectrum model calculation.
B) Adaptive models perform a scoring model calculation.
C) Adaptive models require underlying predictive models.
D) Adaptive models are regression models.


Solutions:

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

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