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

1. In the context of data sources, what is meant by data versioning?

A) Encrypting data to protect against unauthorized access
B) Keeping track of different versions or changes to data over time
C) Storing multiple copies of the same data to increase redundancy
D) Compressing data to reduce storage space

2. What is the difference between a classification problem and a regression problem in machine learning?

A) Classification is a type of regression problem.
B) Classification predicts categorical outcomes, while regression predicts numeric outcomes.
C) Regression predicts categorical outcomes, while classification predicts numeric outcomes.
D) There is no difference; the terms are used interchangeably.

3. What does "feature selection" refer to in the context of model building?

A) The creation of synthetic features from existing data
B) The visualization of data distribution
C) The process of choosing the most relevant variables (features) for the model
D) The evaluation of model accuracy

4. Which type of data source typically stores structured data in a tabular format?

A) Relational databases
B) NoSQL databases
C) APIs
D) Text documents

5. In the context of model building, what is the purpose of hyperparameter tuning?

A) Visualizing data
B) Selecting the most important features
C) Optimizing the model's hyperparameters for better performance
D) Training the model

Solutions: