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Pegasystems PEGAPCDS87V1 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Data Understanding | - Exploratory data analysis concepts - Data sources and data types in Pega |
| Topic 2: Pega Decisioning and AI Integration | - Adaptive models and decision strategies - Embedding predictive analytics in Pega applications |
| Topic 3: Data Sets and Integration | - External data integration with Pega platform - Data flows and dataset configuration |
| Topic 4: Predictive Analytics | - Model training and evaluation - Predictive model types in Pega (classification, regression) |
| Topic 5: Data Preparation | - Feature engineering for predictive models - Data cleansing and transformation |
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) Predictive model
B) Extraction model
C) Categorization model
D) Adaptive model
2. Which Adaptive Model output is automatically mapped to a strategy property?
A) performance
B) score
C) propensity
D) evidence
3. When building a predictive model, what is a valid predictor data type?
A) Symbolic
B) String
C) Character
D) Boolean
4. What are two results of an Adaptive Model? (Choose Two)
A) Performance
B) Segment
C) Propensity
D) Priority
5. From two chum models with the similar performance, we choose the one with the________________.
A) most evidence
B) fewest number of predictors
C) highest churn rate
D) highest number of predictors
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: D | Question # 3 Answer: A | Question # 4 Answer: A,C | Question # 5 Answer: C |


