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