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SASInstitute A00-401 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Building Models | 50% | - Regression models - Neural networks - Autotuning and regularization - Decision trees and ensemble models - Support vector machines - Incorporate external and custom code - Supervised learning concepts |
| Model Assessment and Deployment | 20% | - Model comparison in Model Studio - Model evaluation principles - Fit statistics, ROC, Lift and comparison reports - Register and publish models - Export score code |
| Data Sources | 30% | - Use Variable Selection node - Reduce dimensionality and handle redundancy - Create a project in Model Studio - Explore and modify data - Understand variable types and measurement scales |




