SASInstitute A00-406 : SAS® Viya® Supervised Machine Learning Pipelines

A00-406 real exams

Exam Code: A00-406

Exam Name: SAS® Viya® Supervised Machine Learning Pipelines

Updated: Oct 07, 2026

Q & A: 98 Questions and Answers

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SASInstitute A00-406 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Model Assessment and Deployment24-30%- Assessing model performance (metrics, ROC curves, confusion matrices)
- Deploying models into production
Topic 2: Data Sources30-36%- Dimensionality reduction and feature engineering
- Exploring and modifying data
- Importing and preparing data
Topic 3: Building Models40-46%- Supervised model creation (decision trees, ensembles, SVM, neural networks)
- Model comparison and selection

SASInstitute SAS® Viya® Supervised Machine Learning Pipelines Sample Questions:

Question #1

What is the primary role of a loss function in model training?

  • A. To assess the accuracy of the model
  • B. To measure the difference between predicted and actual values
  • C. To maximize the model's performance
  • D. To visualize the data
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

Question #2

What is the main goal of data preprocessing in a machine learning pipeline?

  • A. To train the model
  • B. To remove irrelevant features
  • C. To visualize the data
  • D. To prepare the data for analysis and modeling
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

Question #3

Which machine learning technique is typically used for building a model to predict a numeric target variable?

  • A. Regression
  • B. Dimensionality reduction
  • C. Classification
  • D. Clustering
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

Question #4

In the context of model assessment, what does "bias" refer to?

  • A. A measure of the model's precision
  • B. The process of feature engineering
  • C. The simplicity of the model
  • D. A systematic error that causes a model to consistently overpredict
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

Question #5

What is the primary role of a data warehouse in an organization?

  • A. Data transformation and cleaning
  • B. Long-term data storage and analysis
  • C. Real-time data analysis
  • D. Data exploration and visualization
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

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