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Pegasystems PEGACPDS24V1 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Text Analytics and NLP | 10% | - Text analytics model configuration - Sentiment analysis and categorization - Using NLP for unstructured data processing |
| Topic 2: Predictive Analytics and MLOps | 26% | - MLOps practices for model lifecycle management - Building and deploying predictive models - Importing external models (PMML, H2O) - Model validation and performance metrics |
| Topic 3: Governance and Monitoring | 4% | - Model governance framework - Compliance and audit requirements - Performance monitoring and alerting |
| Topic 4: Prediction Patterns and Decision Strategies | 18% | - Defining and reusing prediction patterns - Strategy optimization and testing - Combining predictions and business rules - Designing and configuring decision strategies |
| Topic 5: AI for Customer Decision Hub | 8% | - Application of AI in customer engagement - Predictive capabilities and next-best-action paradigm - Overview of Customer Decision Hub |
| Topic 6: Pega Process AI | 12% | - AI application in process automation - Predictive models for case management - Integrating predictions into business processes |
| Topic 7: Adaptive Analytics | 22% | - Predictor management and tuning - Monitoring and interpreting model performance - Adaptive model creation and configuration - Exporting and analyzing model data |
