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

1. What is the purpose of an ROC curve (Receiver Operating Characteristic) in model assessment?

A) To compare a model's true positive rate with the false positive rate
B) To visualize data distribution
C) To evaluate regression models
D) To measure feature importance

2. What is the difference between a classification problem and a regression problem in machine learning?

A) Classification predicts categorical outcomes, while regression predicts numeric outcomes.
B) Classification is a type of regression problem.
C) There is no difference; the terms are used interchangeably.
D) Regression predicts categorical outcomes, while classification predicts numeric outcomes.

3. In the context of data sources, what is ETL?

A) Execute, Terminate, Launch
B) Examine, Test, Log
C) Extract, Transform, Load
D) Efficient Text Link

4. 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

5. Which of the following is a common source for external data in the context of business analytics?

A) Intranet databases
B) CRM data
C) Employee records
D) Company financial reports

Solutions: