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Pegasystems PEGACPDS25V1 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Predictive Analytics | 20–26% | - MLOps - Creating predictions |
| Topic 2: Pega Process AI | 8–10% | - Process AI overview - Fraud prediction - SLA risk prediction |
| Topic 3: Governance | 2–4% | - Model governance |
| Topic 4: Pega NLP | 14% | - Email routing - Text analytics overview - Entity extraction for chatbot channels |
| Topic 5: Adaptive Analytics | 22–28% | - Adaptive models - Monitoring adaptive models - Exporting adaptive model data |
| Topic 6: AI for Customer Decision Hub | 6–8% | - Customer Decision Hub overview - Customer Decision Hub predictions |
| Topic 7: Prediction Patterns | 18–20% | - Decision strategies - Defining prediction patterns |




