SASInstitute A00-402 Q&A - in .pdf

  • Exam Code: A00-402
  • Exam Name: SAS Viya 3.5 Supervised Machine Learning Pipelines
  • Updated: Sep 10, 2026
  • Q & A: 0 Questions and Answers
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SASInstitute A00-402 Q&A - Testing Engine

  • Exam Code: A00-402
  • Exam Name: SAS Viya 3.5 Supervised Machine Learning Pipelines
  • Updated: Sep 10, 2026
  • Q & A: 0 Questions and Answers
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SAS Viya is an open, flexible and scalable software platform that enables the development and deployment of analytics and machine learning models. The platform is designed to provide a high-performance and reliable environment for data analysis, model development and deployment for organizations across different domains. SAS Viya 3.5 is the latest version of SAS Viya and comes with several new features that enable users to deploy, manage and monitor machine learning models at scale.

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SASInstitute A00-402 exam is a valuable certification for individuals who work with SAS Viya 3.5 and want to demonstrate their skills in supervised machine learning. By passing A00-402 exam, candidates can show their proficiency in building and deploying machine learning models using SAS Viya 3.5. With the right preparation and study materials, candidates can successfully pass the SAS Viya 3.5 Supervised Machine Learning Pipelines exam and further their career in machine learning.

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SASInstitute A00-402 certification exam covers a range of topics related to supervised machine learning in SAS Viya, including data preparation, feature engineering, model selection, model evaluation, and deployment. Candidates will be expected to have a working knowledge of SAS programming, as well as familiarity with machine learning algorithms and techniques. A00-402 exam consists of 70 multiple-choice and short-answer questions, and candidates will have 110 minutes to complete the exam. Passing this certification exam is a great way for individuals to demonstrate their expertise in supervised machine learning and to enhance their career opportunities in the field of data science.

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 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 2: Model Training and Optimization- Model training workflows in SAS Viya Model Studio
          • 1. Hyperparameter tuning
            • 2. Pipeline creation and management
              - Model validation
              • 1. Cross-validation techniques
                • 2. Performance metrics (AUC, accuracy, lift)
                  Topic 3: 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
                          Topic 4: Supervised Learning Algorithms- Regression and classification models
                          • 1. Logistic regression
                            • 2. Linear regression
                              - Tree-based models
                              • 1. Decision trees
                                • 2. Gradient boosting
                                  • 3. Random forest

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