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