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