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

A00-402 real exams

Exam Code: A00-402

Exam Name: SAS Viya 3.5 Supervised Machine Learning Pipelines

Updated: Aug 28, 2026

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SAS Certified Specialist (A00-402) Exam Format

  • Language: English

  • Passing Score: Must achieve a score of 65 percent correct to pass

  • Exam Length: 50-55 Questions

  • Exam Format: Multiple choice and Short-answer questions

  • Exam Duration: 100 minutes to complete the exam.

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:

SectionWeightObjectives
Topic 1: Overview of Supervised Machine Learning10-15%- Basic concepts and terminology
- Prediction types and modeling goals
- Model overfitting, underfitting, and generalization
Topic 2: Model Assessment and Comparison15-20%- Regression metrics: RMSE, R-squared, MAE
- Comparing models and selecting best performer
- Profit/loss analysis and cutoff adjustment
- Interpreting model results and diagnostics
- Classification metrics: accuracy, precision, recall, F1, AUC
Topic 3: Building Predictive Models25-30%- Using appropriate modeling nodes
- Regularization and optimization methods
- Decision trees and tree ensembles
- Regression models (linear, logistic)
- Neural networks and deep learning basics
Topic 4: Model Deployment5-10%- Model scoring and operationalization
- Registering and publishing models
- Exporting score code
Topic 5: Creating and Managing Pipelines15-20%- Using pipeline templates and automation
- Managing pipeline flow and execution
- Building pipelines in Model Studio
- Configuring and connecting nodes
Topic 6: Data Preparation and Exploration20-25%- Variable selection and reduction
- Loading and accessing data sources
- Handling missing values and outliers
- Partitioning data into training, validation, and test sets
- Feature engineering and transformation
- Data profiling and exploration

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