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

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

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

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

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

3. What is the purpose of a "canary release" in the context of model deployment?

A) To evaluate model accuracy
B) To deploy a new model version to a small subset of users or systems for testing
C) To assess data quality
D) To create synthetic data

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

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

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

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

Solutions: