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: Oct 02, 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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SAS Institute A00-402 Exam is a computer based test which is conducted by PEARSON VUE. It is a test on the fundamentals of programming in SAS Language. In this exam, you will be tested on your knowledge of the SAS language and its use. This includes your ability to code, design and create reports and charts, along with handling and modifying data in a database. It is required that the candidate should have an experience of 3 months or more as a SAS programmer before sitting for this exam. Since he/she should have worked with SAS on regular basis, he/she should be able to grasp the concepts quickly and effectively. The candidate can enroll themselves for the same once they have cleared the SAS Language first level test. SAS Institute A00-402 Dumps will help you prepare for the same. The SAS Language first level exam covers an overview of SAS Basics such as creating formulas, writing procedures, building classes etc. Once you are clear about the basics then it is time for you to enroll for this exam and attempt it without much preparation.

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SASInstitute A00-402 Exam Syllabus Topics:

SectionWeightObjectives
Data Preparation- Prepare and modify data for modeling
  • 1. Feature extraction and selection
  • 2. Transform, standardize and derive variables
  • 3. Handle missing values
Model Assessment and Deployment30%- Evaluate and deploy models
  • 1. Select champion models
  • 2. Assess model performance metrics
  • 3. Deploy models to production
  • 4. ROC and lift curve analyses
Building Supervised Models40%- Develop and tune machine learning models
  • 1. Decision trees and forest models
  • 2. Support vector machines
  • 3. Model comparison and tuning
  • 4. Gradient boosting models
Data Sources and Data Exploration30%- Access and manage data in Model Studio
  • 1. Partition data into training, validation, and test sets
  • 2. Import and load data into SAS Viya
  • 3. Create projects and pipelines
  • 4. Explore data distributions and quality

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