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