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






