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

1. What does "feature selection" refer to in the context of model building?

A) The evaluation of model accuracy
B) The process of choosing the most relevant variables (features) for the model
C) The visualization of data distribution
D) The creation of synthetic features from existing data

2. What does API stand for in the context of data sources?

A) Advanced Programming Integration
B) Application Programming Interface
C) Automated Program Integration
D) Application Program Interface

3. What is the primary purpose of a supervised machine learning pipeline in SAS Viya?

A) Data preprocessing and cleaning
B) Data visualization
C) Model training and evaluation
D) Data storage and retrieval

4. What is metadata in the context of data sources?

A) Data that is stored in a physical format
B) Data about data, providing information such as data source, structure, and context
C) Data that is encrypted for security
D) Data that is in a non-standard, proprietary format

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

A) Mean Absolute Error (MAE)
B) Precision
C) Confusion Matrix
D) F1 Score

Solutions: