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

1. Which metric is commonly used to evaluate the performance of a regression model?

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

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

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

3. What is the primary role of a loss function in model training?

A) To measure the difference between predicted and actual values
B) To assess the accuracy of the model
C) To visualize the data
D) To maximize the model's performance

4. What is the purpose of a "canary release" in the context of model deployment?

A) To evaluate model accuracy
B) To assess data quality
C) To deploy a new model version to a small subset of users or systems for testing
D) To create synthetic data

5. What is the main goal of data preprocessing in a machine learning pipeline?

A) To train the model
B) To prepare the data for analysis and modeling
C) To visualize the data
D) To remove irrelevant features

Solutions: