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| Certification Provider: | DASCA |
|---|---|
| Exam Code / Number: | SDS |
| Exam Name: | Senior Data Scientist |
| Exam Questions: | 87 |
| Last Updated: | Jun 23, 2026 |
| Corresponding Certification: | DASCA Data Scientist |
(377 Up Votes)DASCA SDS Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Advanced AI & Generative AI | 20% | - Generative AI techniques, use cases, and limitations - Deep learning, neural networks, and foundation models - Responsible AI, ethics, fairness, transparency, and compliance |
| Big Data Ecosystems & Scalable Systems | 20% | - Scalability, performance, and optimization - Data storage, processing pipelines, and governance - Distributed computing frameworks and cloud platforms |
| Foundational Methods & Frameworks | 25% | - Data preparation, feature engineering, and quality assurance - Advanced statistics, probability, and experimental design - Machine learning algorithms, selection, and evaluation |
| MLOps & Production Deployment | 15% | - Model governance, security, and reliability - Model lifecycle management, monitoring, and maintenance - DevOps integration, automation, and CI/CD |
| Data Science Applications in Business | 20% | - Measuring and demonstrating ROI of data science initiatives - Translating business requirements into data science problems - Data science strategy and enterprise alignment |