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

1. What is the main advantage of using a RESTful API (Representational State Transfer) as a data source?

A) Simple and standardized communication
B) High security features
C) Real-time data processing
D) Support for complex data structures

2. Which hyperparameter in a decision tree model controls the depth of the tree and helps prevent overfitting?

A) Min samples split
B) Max features
C) Max depth
D) Learning rate

3. In a supervised learning pipeline, what is the role of the training data set?

A) To train the machine learning model
B) To test the model's generalization capability
C) To evaluate the model's predictions
D) To validate the model's performance

4. What is the main purpose of feature engineering in model building?

A) Model evaluation
B) Creating new features or transforming existing ones to improve model performance
C) Data preprocessing
D) Data visualization

5. Which feature extraction method can take both interval variables and class variables as inputs?

A) Singular value decomposition
B) Robust PCA
C) Principal component analysis
D) Autoencoder

Solutions: