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

1. When building a recommendation system, which type of filtering is based on the user's behavior and preferences?

A) Content-based filtering
B) Matrix factorization
C) Collaborative filtering
D) Singular Value Decomposition (SVD)

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

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

3. In model evaluation, what is the purpose of a ROC curve (Receiver Operating Characteristic)?

A) To visualize data distribution
B) To compare models' performance in terms of sensitivity and specificity
C) To evaluate the mean squared error of a model
D) To measure feature importance

4. Which type of model is well-suited for solving classification problems when dealing with high- dimensional data, such as text?

A) Linear Regression
B) Support Vector Machine (SVM)
C) Random Forest
D) K-Means Clustering

5. In model assessment, what is the purpose of feature importance analysis?

A) To create synthetic features
B) To assess data quality
C) To visualize data distribution
D) To evaluate the significance of input features in making predictions

Solutions: