Exam Name: SAS Viya 3.5 Supervised Machine Learning Pipelines
Certification Provider: SASInstitute
Corresponding Certification: SASInstitute Certification
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Updated: Oct 07, 2026
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SAS Certified Specialist (A00-402) Exam Format
Exam Length: 50-55 Questions
Passing Score: Must achieve a score of 65 percent correct to pass
Exam Format: Multiple choice and Short-answer questions
Exam Duration: 100 minutes to complete the exam.
Language: English
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SASInstitute A00-402 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Data Preparation and Exploration | 20-25% | - Variable selection and reduction - Handling missing values and outliers - Data profiling and exploration - Feature engineering and transformation - Loading and accessing data sources - Partitioning data into training, validation, and test sets |
| Overview of Supervised Machine Learning | 10-15% | - Model overfitting, underfitting, and generalization - Basic concepts and terminology - Prediction types and modeling goals |
| Model Deployment | 5-10% | - Exporting score code - Registering and publishing models - Model scoring and operationalization |
| Building Predictive Models | 25-30% | - Regularization and optimization methods - Regression models (linear, logistic) - Decision trees and tree ensembles - Neural networks and deep learning basics - Using appropriate modeling nodes |
| Creating and Managing Pipelines | 15-20% | - Configuring and connecting nodes - Using pipeline templates and automation - Building pipelines in Model Studio - Managing pipeline flow and execution |
| Model Assessment and Comparison | 15-20% | - Regression metrics: RMSE, R-squared, MAE - Classification metrics: accuracy, precision, recall, F1, AUC - Profit/loss analysis and cutoff adjustment - Comparing models and selecting best performer - Interpreting model results and diagnostics |
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