SASInstitute SAS Viya 3.5 Supervised Machine Learning Pipelines : A00-402

  • Exam Code: A00-402
  • Exam Name: SAS Viya 3.5 Supervised Machine Learning Pipelines
  • Updated: Sep 27, 2026
  • Q & A: 0 Questions and Answers

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Reference: https://www.sas.com/en_us/certification/credentials/advanced-analytics/machine-learning-specialist.html

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SASInstitute A00-402 Exam Syllabus Topics:

SectionObjectives
Topic 1: Model Training and Optimization- Model training workflows in SAS Viya Model Studio
  • 1. Hyperparameter tuning
    • 2. Pipeline creation and management
      - Model validation
      • 1. Performance metrics (AUC, accuracy, lift)
        • 2. Cross-validation techniques
          Topic 2: Supervised Learning Algorithms- Tree-based models
          • 1. Gradient boosting
            • 2. Random forest
              • 3. Decision trees
                - Regression and classification models
                • 1. Logistic regression
                  • 2. Linear regression
                    Topic 3: Model Assessment and Deployment- Deployment in SAS Viya
                    • 1. Model publishing
                      • 2. Scoring pipelines
                        - Model evaluation
                        • 1. Confusion matrix interpretation
                          • 2. ROC and gain charts
                            Topic 4: Data Preparation for Machine Learning- Data cleansing and preprocessing in SAS Viya
                            • 1. Encoding categorical variables
                              • 2. Handling missing values
                                - Feature engineering
                                • 1. Variable selection methods
                                  • 2. Feature transformation techniques

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