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Pegasystems PEGAPCDS87V1 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Data Preparation | - Feature engineering for predictive models - Data cleansing and transformation |
| Pega Decisioning and AI Integration | - Embedding predictive analytics in Pega applications - Adaptive models and decision strategies |
| Data Understanding | - Data sources and data types in Pega - Exploratory data analysis concepts |
| Data Sets and Integration | - Data flows and dataset configuration - External data integration with Pega platform |
| Predictive Analytics | - Model training and evaluation - Predictive model types in Pega (classification, regression) |
Pegasystems Pega Certified Data Scientist (PCDS) 87V1 Sample Questions:
Which Adaptive Model output is automatically mapped to a strategy property?
- A. performance
- B. score
- C. propensity
- D. evidence
An online store is interested in increasing its revenues from cross-selling and wants to predict the acceptance rate of the offers presented on their website.
A customer's propensity to accept an offer increases when___________________. .
- A. the offer was accepted by similar customers
- B. similar offers were rejected by the customer
- C. the offer was rejected by similar customers
- D. similar offers were accepted by the customer
When defining outcomes for an Adaptive Model you must define_________________.
- A. only negative behavior values
- B. one or more positive behavior values
- C. positive, negative and neutral behavior values
- D. behavior values to be ignored
A telecom company is interested in improving customer engagement on social media. However, there are hundreds of relevant messages posted every day, and it is not practical for customer service representatives (CSRs) to review and respond to all messages. Instead, CSRs should focus on negative messages.
What do you need to analyze the incoming messages?
- A. Predictive model
- B. Adaptive model
- C. Text categorization model
- D. Text extraction model
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. add a Group
- B. add a Field
- C. create a Provider
- D. merge customer and credit card data

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