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

1. What is the purpose of data profiling in data source management?

A) To optimize data storage
B) To create data visualizations
C) To execute data queries
D) To assess the quality and characteristics of data

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

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

3. What is the primary goal of hyperparameter tuning during model building?

A) To add more features to the model
B) To improve data preprocessing techniques
C) To optimize the settings that control the model's learning process
D) To increase model complexity

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

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

5. What is "model versioning" in the context of model deployment?

A) The process of training a model from scratch
B) The practice of keeping track of different versions of a model to maintain reproducibility
C) The process of creating synthetic data
D) The process of evaluating model performance

Solutions: