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