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