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Pegasystems PEGACPDS23V1 Exam Overview:
| Certification Vendor: | Pegasystems |
|---|---|
| Exam Name: | Certified Pega Data Scientist 23 |
| Exam Number: | PEGACPDS23V1 |
| Available Languages: | English |
| Exam Duration: | 90 minutes |
| Certificate Validity Period: | Valid until platform version is retired |
| Exam Format: | Multiple-response, Scenario-based questions, Multiple-choice |
| Passing Score: | 70% |
| Exam Price: | USD 190 (excluding taxes) |
| Real Exam Qty: | 50 |
| 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 |
|---|---|---|
| Topic 1: Prediction Patterns & Decision Strategies | 18% | - Designing decision strategies - Arbitration and prioritization - Combining predictions in strategies - Using prediction patterns |
| Topic 2: Pega Process AI | 10% | - Predicting SLA and risk outcomes - Predictive models for operational processes - Embedding AI in case management |
| Topic 3: Adaptive Analytics | 28% | - Learning and outcome tracking - Adaptive model design and configuration - Predictor setup and management - Model performance monitoring |
| Topic 4: Pega NLP & Text Analytics | 14% | - Text prediction configuration - Processing unstructured text data - Sentiment and intent analysis |
| Topic 5: Predictive Analytics | 20% | - External model integration (PMML, H2O) - Creating and importing predictions - MLOps and model lifecycle - Model evaluation metrics (AUC, Lift) |
| Topic 6: Model Governance & Ethics | 4% | - Lifecycle governance - Fairness and explainability - Model monitoring and compliance |
| Topic 7: AI for Customer Decision Hub | 6% | - Predictions in decisioning - Customer Decision Hub overview - Next-Best-Action framework |
By Mike
