SASInstitute SAS Viya 3.4 Supervised Machine Learning Pipelines : A00-401

A00-401 real exams

Exam Code: A00-401

Exam Name: SAS Viya 3.4 Supervised Machine Learning Pipelines

Updated: Sep 12, 2026

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SASInstitute A00-401 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Model Assessment and Deployment20%- Evaluate and deploy models
  • 1. ROC and lift analysis
  • 2. Assess model performance metrics
  • 3. Publish and deploy models
  • 4. Compare competing models
  • 5. Select champion models
Topic 2: Data Preparation20%- Prepare data for modeling
  • 1. Handle missing values
  • 2. Transform and standardize variables
  • 3. Perform variable selection and feature engineering
  • 4. Create derived variables and features
Topic 3: Data Sources and Data Exploration25%- Access and manage data sources
  • 1. Import and load data into SAS Viya
  • 2. Explore data distributions and relationships
  • 3. Understand metadata and project structure
  • 4. Identify data quality issues
Topic 4: Building Models35%- Develop supervised machine learning models
  • 1. Support vector machines
  • 2. Model tuning and comparison
  • 3. Decision trees
  • 4. Forest models
  • 5. Gradient boosting
  • 6. Neural networks
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