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

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

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

2. In machine learning, what does "overfitting" refer to?

A) A model that performs well on new, unseen data
B) A model that is undertrained and has high bias
C) A model that is unable to make predictions
D) A model that has too much complexity and fits the training data too closely

3. In a machine learning pipeline, what is the purpose of cross-validation?

A) To split the dataset into training and testing sets
B) To train multiple models on different subsets of the data to assess generalization
C) To visualize the data distribution
D) To evaluate the model's performance on new data

4. Which SAS Viya component is typically used for deploying and monitoring machine learning models in production?

A) SAS Visual Analytics
B) SAS Model Manager
C) SAS Data Loader
D) SAS Enterprise Miner

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

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

Solutions: