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

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

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

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

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

3. A project has been created and a pipeline has been run in Model Studio.
Which project setting can you edit?

A) Rules for model comparison statistic
B) Advisor Options for missing values
C) Event-based Sampling proportions
D) Partition Data percentages

4. In reinforcement learning, what is the agent's objective?

A) To generate synthetic data
B) To learn from labeled data
C) To maximize a cumulative reward over time
D) To make predictions

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 evaluate the mean squared error of a model
D) To measure feature importance

Solutions: