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

1. What is the purpose of regularization techniques in model building, such as L1 and L2 regularization?

A) To speed up model training
B) To increase model complexity
C) To add more features to the model
D) To prevent overfitting and reduce model complexity

2. What is the primary purpose of model documentation in the model deployment phase?

A) To create synthetic data
B) To provide information on the model's development, architecture, and usage
C) To evaluate the model's accuracy
D) To assess data quality

3. What is the primary difference between supervised and unsupervised learning in model building?

A) The amount of labeled data required
B) The use of feature engineering
C) The presence or absence of a target variable
D) The type of data used

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

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

5. What is the primary function of a data catalog in managing data sources?

A) Data visualization
B) Data documentation and discovery
C) Data storage
D) Data analysis

Solutions: