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Last Updated: Sep 16, 2026

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SASInstitute A00-406 Exam Syllabus Topics:

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

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

Question #1

What is feature engineering in the context of machine learning pipelines?

  • A. Creating new features from existing data
  • B. Building a machine learning model from scratch
  • C. Testing the model's performance
  • D. Applying the model to new data
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

Question #2

Which technique is commonly used for feature scaling or normalization in machine learning pipelines?

  • A. Standardization
  • B. Principal Component Analysis (PCA)
  • C. One-Hot Encoding
  • D. Decision Trees
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

Question #3

When building a deep learning neural network, what is the purpose of the activation function in each neuron?

  • A. To initialize the model
  • B. To introduce non-linearity
  • C. To control the number of hidden layers
  • D. To define the learning rate
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

Question #4

Which evaluation metric is commonly used for assessing the performance of a regression model?

  • A. Mean Absolute Error (MAE)
  • B. Precision
  • C. F1 Score
  • D. Confusion Matrix
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

Question #5

In reinforcement learning, what is the "reward signal"?

  • A. The accuracy of the model's predictions
  • B. A numerical value that indicates the performance of an action taken by the agent
  • C. A regularization parameter
  • D. The final prediction made by the model
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

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