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Pegasystems PEGACPDS23V1 Exam Overview:
| Certification Vendor: | Pegasystems |
|---|---|
| Exam Name: | Certified Pega Data Scientist 23 |
| Exam Number: | PEGACPDS23V1 |
| Exam Price: | USD 190 (excluding taxes) |
| Available Languages: | English |
| Real Exam Qty: | 50 |
| Exam Format: | Multiple-response, Scenario-based questions, Multiple-choice |
| Certificate Validity Period: | Valid until platform version is retired |
| Exam Duration: | 90 minutes |
| Passing Score: | 70% |
| Recommended Training: | Pega Academy Data Scientist Learning Path |
| Exam Registration: | Pega Academy Exam Page Pearson VUE Registration |
| Exam Way: | Online proctored or onsite at authorized Pearson VUE test centers |
| Pre Condition: | No formal prerequisites; recommended experience with Pega Platform, Customer Decision Hub, machine learning, statistics, and data science concepts |
| Official Syllabus URL: | https://academy.pega.com/exam/certified-pega-data-scientist-23 |
Pegasystems PEGACPDS23V1 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Pega NLP & Text Analytics | 14% | - Text prediction configuration - Sentiment and intent analysis - Processing unstructured text data |
| AI for Customer Decision Hub | 6% | - Customer Decision Hub overview - Next-Best-Action framework - Predictions in decisioning |
| Model Governance & Ethics | 4% | - Fairness and explainability - Lifecycle governance - Model monitoring and compliance |
| Predictive Analytics | 20% | - MLOps and model lifecycle - Creating and importing predictions - Model evaluation metrics (AUC, Lift) - External model integration (PMML, H2O) |
| Adaptive Analytics | 28% | - Model performance monitoring - Learning and outcome tracking - Adaptive model design and configuration - Predictor setup and management |
| Pega Process AI | 10% | - Embedding AI in case management - Predicting SLA and risk outcomes - Predictive models for operational processes |
| Prediction Patterns & Decision Strategies | 18% | - Arbitration and prioritization - Using prediction patterns - Designing decision strategies - Combining predictions in strategies |
By Lambert
