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

1. Which type of model is commonly used for anomaly detection in datasets?

A) Principal Component Analysis (PCA)
B) Decision Trees
C) Clustering Models
D) Linear Regression

2. Refer to the treemap shown in the exhibit below:

Which statement is true about the tree map for a decision tree with a binary target?

A) The wider bars represent nodes with a higher probability of event.
B) The top bar represents the node with the highest probability of event.
C) The top bar represents the node with the highest count.
D) The darker bars represent nodes with a lower probability of event.

3. Which algorithm is commonly used for binary classification in machine learning pipelines, especially when dealing with imbalanced datasets?

A) Support Vector Machine (SVM)
B) Principal Component Analysis (PCA)
C) Linear Regression
D) K-Means Clustering

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

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

5. 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 improve data preprocessing techniques
C) To add more features to the model
D) To increase model complexity

Solutions: