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Pegasystems PEGAPCDS87V1 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Data Understanding | - Data sources and data types in Pega - Exploratory data analysis concepts |
| Topic 2: Data Preparation | - Feature engineering for predictive models - Data cleansing and transformation |
| Topic 3: Predictive Analytics | - Predictive model types in Pega (classification, regression) - Model training and evaluation |
| Topic 4: Data Sets and Integration | - Data flows and dataset configuration - External data integration with Pega platform |
| Topic 5: Pega Decisioning and AI Integration | - Embedding predictive analytics in Pega applications - Adaptive models and decision strategies |
Pegasystems Pega Certified Data Scientist (PCDS) 87V1 Sample Questions:
1. In a Set Property component, the Rank value is determined by______________.
A) the data transform
B) the order in which the actions are received
C) the default value of the Rank
D) the sequence in which it appears on the canvas
2. When a new component is added to the strategy canvas, its Rank value will be
A) Not set
B) One higher than the current highest Rank
C) 0
D) 1
3. 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) Categorization model
B) Predictive model
C) Extraction model
D) Adaptive model
4. Which decision component allows you to monitor the real-time performance of a third-party Churn Model?
A) Predictive Model
B) Adaptive Model
C) PMML Model
D) Scorecard Model
5. The Adaptive Model component in a strategy computes
A) a unique accept rate for each action
B) a single accept rate for all actions
C) a propensity value for each action
D) a single propensity value for all actions
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: D | Question # 3 Answer: B | Question # 4 Answer: A | Question # 5 Answer: A |






