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Pegasystems PEGAPCDS87V1 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Predictive Analytics | - Model training and evaluation - Predictive model types in Pega (classification, regression) |
| Data Understanding | - Data sources and data types in Pega - Exploratory data analysis concepts |
| 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 Sets and Integration | - External data integration with Pega platform - Data flows and dataset configuration |
Pegasystems Pega Certified Data Scientist (PCDS) 87V1 Sample Questions:
1. 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) Extraction model
B) Predictive model
C) Adaptive model
D) Categorization model
2. Which business objective is best suited for the Next-Best-Action approach?
A) Growth
B) Employee satisfaction
C) Change Management
D) Productivity
3. When building a predictive model, what is a valid predictor data type?
A) String
B) Boolean
C) Character
D) Symbolic
4. The implementation of Next-Best-Action must involve
A) inclusion of third party predictive models
B) building a product catalog
C) defining business issue and group hierarchy
D) defining a prioritization formula using contact policies
5. What is the most accurate description of proactive retention?
A) Enables business to respond to customers when they contact a call center
B) Simplifies the process of retaining customers
C) Enables the business to reduce the number of credit risk customers
D) Anticipates potential customer churn
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: A | Question # 3 Answer: D | Question # 4 Answer: C | Question # 5 Answer: D |
