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