Certified Pega Data Scientist 24: PEGACPDS24V1 Exam
"Certified Pega Data Scientist 24", also known as PEGACPDS24V1 exam, is a Pegasystems Certification. With the complete collection of questions and answers, PrepPDF has assembled to take you through 0 Q&As to your PEGACPDS24V1 Exam preparation. In the PEGACPDS24V1 exam resources, you will cover every field and category in Pegasystems Certification Certification helping to ready you for your successful Pegasystems Certification.
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- Exam Code: PEGACPDS24V1
- Exam Name: Certified Pega Data Scientist 24
- Certification Provider: Pegasystems
- Corresponding Certification: Pegasystems Certification
- Updated: Oct 14, 2026
- No. of Questions: 0 Questions & Answers with Testing Engine
- Download Limit: Unlimited
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Pegasystems PEGACPDS24V1 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Prediction Patterns and Decision Strategies | 18% | - Defining and reusing prediction patterns - Strategy optimization and testing - Designing and configuring decision strategies - Combining predictions and business rules |
| Topic 2: Adaptive Analytics | 22% | - Adaptive model creation and configuration - Predictor management and tuning - Monitoring and interpreting model performance - Exporting and analyzing model data |
| Topic 3: Text Analytics and NLP | 10% | - Sentiment analysis and categorization - Using NLP for unstructured data processing - Text analytics model configuration |
| Topic 4: Governance and Monitoring | 4% | - Performance monitoring and alerting - Model governance framework - Compliance and audit requirements |
| Topic 5: 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 6: 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 7: Pega Process AI | 12% | - AI application in process automation - Predictive models for case management - Integrating predictions into business processes |
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