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

1. What is the significance of the "bias-variance trade-off" in machine learning?

A) It indicates the trade-off between accuracy and precision.
B) It is not relevant in machine learning.
C) It represents the trade-off between underfitting and overfitting.
D) It refers to the trade-off between the number of features and the model's complexity.

2. When building a deep learning neural network, what is the purpose of the activation function in each neuron?

A) To initialize the model
B) To control the number of hidden layers
C) To define the learning rate
D) To introduce non-linearity

3. What is the primary goal of hyperparameter tuning during model building?

A) To optimize the settings that control the model's learning process
B) To increase model complexity
C) To improve data preprocessing techniques
D) To add more features to the model

4. In a supervised machine learning pipeline, what is the purpose of the test data set?

A) To validate the model's performance
B) To preprocess the data
C) To train the machine learning model
D) To evaluate the model's predictions

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

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

Solutions: