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