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Pegasystems PEGACPDS23V1 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Model Governance & Ethics | 4% | - Lifecycle governance - Model monitoring and compliance - Fairness and explainability |
| Topic 2: AI for Customer Decision Hub | 6% | - Predictions in decisioning - Next-Best-Action framework - Customer Decision Hub overview |
| Topic 3: Pega Process AI | 10% | - Embedding AI in case management - Predicting SLA and risk outcomes - Predictive models for operational processes |
| Topic 4: Adaptive Analytics | 28% | - Learning and outcome tracking - Predictor setup and management - Adaptive model design and configuration - Model performance monitoring |
| Topic 5: Predictive Analytics | 20% | - MLOps and model lifecycle - Model evaluation metrics (AUC, Lift) - External model integration (PMML, H2O) - Creating and importing predictions |
| Topic 6: Prediction Patterns & Decision Strategies | 18% | - Combining predictions in strategies - Using prediction patterns - Designing decision strategies - Arbitration and prioritization |
| Topic 7: Pega NLP & Text Analytics | 14% | - Processing unstructured text data - Sentiment and intent analysis - Text prediction configuration |
