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

1. Which evaluation metric is commonly used for assessing the performance of a binary classification model?

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

2. Refer to the exhibit below:

Based on the output from the Data Exploration node shown in the exhibit, which variable has the most thin tails (most platykurtic distribution)?

A) Logi_rfm6
B) Logi_rfm12
C) Logi_rfm4
D) Logi_rfm8

3. What is the primary purpose of a supervised machine learning pipeline in SAS Viya?

A) Data storage and retrieval
B) Data visualization
C) Model training and evaluation
D) Data preprocessing and cleaning

4. What is metadata in the context of data sources?

A) Data that is in a non-standard, proprietary format
B) Data about data, providing information such as data source, structure, and context
C) Data that is stored in a physical format
D) Data that is encrypted for security

5. What is the purpose of regularization techniques in model building, such as L1 and L2 regularization?

A) To add more features to the model
B) To increase model complexity
C) To speed up model training
D) To prevent overfitting and reduce model complexity

Solutions: