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

1. What is "model retraining" in the context of model deployment?

A) The process of building the initial model
B) The process of data preprocessing
C) The process of feature selection
D) Periodically updating and improving a deployed model with new data

2. Which hyperparameter in a decision tree model controls the depth of the tree and helps prevent overfitting?

A) Min samples split
B) Max depth
C) Max features
D) Learning rate

3. What is a common example of an external data source for an organization?

A) Customer surveys
B) Internal emails
C) Intranet portals
D) Employee databases

4. Which type of model is typically used for time-series forecasting?

A) Decision Trees
B) K-Means Clustering
C) Logistic Regression
D) AutoRegressive Integrated Moving Average (ARIMA)

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

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

Solutions: