SASInstitute A00-401 : SAS Viya 3.4 Supervised Machine Learning Pipelines
- Exam Code: A00-401
- Exam Name: SAS Viya 3.4 Supervised Machine Learning Pipelines
- Updated: Sep 26, 2026
- Q & A: 0 Questions and Answers
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SASInstitute A00-401 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Model Evaluation and Optimization | - Performance metrics (AUC, accuracy, RMSE) - Hyperparameter tuning - Cross-validation techniques |
| Topic 2: Model Deployment and Scoring | - Scoring models in SAS Viya - Model governance and lifecycle concepts |
| Topic 3: Machine Learning Pipelines in SAS Viya | - Data preprocessing nodes - Model training and comparison - Pipeline creation in SAS Model Studio |
| Topic 4: Supervised Machine Learning Concepts | - Bias-variance tradeoff - Model selection principles - Regression and classification fundamentals |
| Topic 5: Data Preparation and Exploration | - Data understanding and quality assessment - Feature engineering basics in SAS Viya - Handling missing values and outliers |
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