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

1. Which machine learning technique is typically used for building a model to predict a numeric target variable?

A) Dimensionality reduction
B) Regression
C) Classification
D) Clustering

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

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

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

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

4. What is the primary role of a loss function in model training?

A) To maximize the model's performance
B) To visualize the data
C) To assess the accuracy of the model
D) To measure the difference between predicted and actual values

5. A project has been created and a pipeline has been run in Model Studio.
Which project setting can you edit?

A) Partition Data percentages
B) Rules for model comparison statistic
C) Advisor Options for missing values
D) Event-based Sampling proportions

Solutions: