Exam Name: Certified Pega Data Scientist 23
Certification Provider: Pegasystems
Corresponding Certification: Pegasystems Certification
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Pegasystems PEGACPDS23V1 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Pega Process AI | 10% | - Embedding AI in case management - Predictive models for operational processes - Predicting SLA and risk outcomes |
| Topic 2: Prediction Patterns & Decision Strategies | 18% | - Using prediction patterns - Designing decision strategies - Arbitration and prioritization - Combining predictions in strategies |
| Topic 3: Predictive Analytics | 20% | - Model evaluation metrics (AUC, Lift) - Creating and importing predictions - External model integration (PMML, H2O) - MLOps and model lifecycle |
| Topic 4: Model Governance & Ethics | 4% | - Model monitoring and compliance - Fairness and explainability - Lifecycle governance |
| Topic 5: Adaptive Analytics | 28% | - Learning and outcome tracking - Model performance monitoring - Predictor setup and management - Adaptive model design and configuration |
| Topic 6: AI for Customer Decision Hub | 6% | - Next-Best-Action framework - Customer Decision Hub overview - Predictions in decisioning |
| Topic 7: Pega NLP & Text Analytics | 14% | - Processing unstructured text data - Sentiment and intent analysis - Text prediction configuration |
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