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Pegasystems PEGACPDS23V1 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Adaptive Analytics | 28% | - Adaptive model design and configuration - Model performance monitoring - Learning and outcome tracking - Predictor setup and management |
| Pega NLP & Text Analytics | 14% | - Text prediction configuration - Sentiment and intent analysis - Processing unstructured text data |
| Pega Process AI | 10% | - Predictive models for operational processes - Embedding AI in case management - Predicting SLA and risk outcomes |
| Prediction Patterns & Decision Strategies | 18% | - Designing decision strategies - Arbitration and prioritization - Combining predictions in strategies - Using prediction patterns |
| Predictive Analytics | 20% | - External model integration (PMML, H2O) - MLOps and model lifecycle - Model evaluation metrics (AUC, Lift) - Creating and importing predictions |
| AI for Customer Decision Hub | 6% | - Next-Best-Action framework - Customer Decision Hub overview - Predictions in decisioning |
| Model Governance & Ethics | 4% | - Fairness and explainability - Lifecycle governance - Model monitoring and compliance |
