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Pegasystems PEGACPDS24V1 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Pega Process AI | 12% | - Predictive models for case management - AI application in process automation - Integrating predictions into business processes |
| Predictive Analytics and MLOps | 26% | - MLOps practices for model lifecycle management - Building and deploying predictive models - Model validation and performance metrics - Importing external models (PMML, H2O) |
| Prediction Patterns and Decision Strategies | 18% | - Designing and configuring decision strategies - Strategy optimization and testing - Combining predictions and business rules - Defining and reusing prediction patterns |
| Text Analytics and NLP | 10% | - Sentiment analysis and categorization - Text analytics model configuration - Using NLP for unstructured data processing |
| Adaptive Analytics | 22% | - Monitoring and interpreting model performance - Predictor management and tuning - Exporting and analyzing model data - Adaptive model creation and configuration |
| Governance and Monitoring | 4% | - Compliance and audit requirements - Model governance framework - Performance monitoring and alerting |
| AI for Customer Decision Hub | 8% | - Overview of Customer Decision Hub - Predictive capabilities and next-best-action paradigm - Application of AI in customer engagement |
