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SASInstitute A00-406 Exam Syllabus Topics:

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

1. What is "model reevaluation" in the model deployment phase?

A) The evaluation of data distribution
B) The periodic assessment of a deployed model's performance and potential retraining
C) The process of selecting features
D) The process of data preprocessing

2. 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 visualize the data
D) To maximize the model's performance

3. In model evaluation, what is the purpose of a ROC curve (Receiver Operating Characteristic)?

A) To compare models' performance in terms of sensitivity and specificity
B) To evaluate the mean squared error of a model
C) To visualize data distribution
D) To measure feature importance

4. In machine learning, what does "overfitting" refer to?

A) A model that is undertrained and has high bias
B) A model that has too much complexity and fits the training data too closely
C) A model that is unable to make predictions
D) A model that performs well on new, unseen data

5. What is the primary objective of model validation during the model assessment phase?

A) To assess the accuracy of the model
B) To create synthetic data
C) To ensure the model generalizes well to new, unseen data
D) To build a model from scratch

Solutions: