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

1. Which technique is used for feature selection in a machine learning pipeline when dealing with a large number of features?

A) One-Hot Encoding
B) Principal Component Analysis (PCA)
C) Naive Bayes
D) Regularization

2. In reinforcement learning, what is the "reward signal"?

A) The final prediction made by the model
B) A numerical value that indicates the performance of an action taken by the agent
C) A regularization parameter
D) The accuracy of the model's predictions

3. Which of the following metrics is commonly used to evaluate the performance of a binary classification model in a machine learning pipeline?

A) Accuracy
B) Mean Absolute Error (MAE)
C) R-squared
D) Root Mean Squared Error (RMSE)

4. What is the primary objective of model evaluation in the context of building predictive models?

A) Discovering patterns in data
B) Assessing the model's performance and accuracy
C) Cleaning the data
D) Visualizing data

5. What does "data lineage" refer to in the context of data source management?

A) The history of data transformation processes
B) The physical location of data storage
C) The security protocols for data access
D) The structure of a relational database

Solutions: