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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%	- Distributed computing frameworks and cloud platforms - Scalability, performance, and optimization - Data storage, processing pipelines, and governance
Data Science Applications in Business	20%	- Measuring and demonstrating ROI of data science initiatives - Data science strategy and enterprise alignment - Translating business requirements into data science problems
Foundational Methods & Frameworks	25%	- Machine learning algorithms, selection, and evaluation - Advanced statistics, probability, and experimental design - Data preparation, feature engineering, and quality assurance
MLOps & Production Deployment	15%	- Model lifecycle management, monitoring, and maintenance - Model governance, security, and reliability - DevOps integration, automation, and CI/CD