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

1. In a machine learning pipeline, what is the purpose of cross-validation?

A) To split the dataset into training and testing sets
B) To train multiple models on different subsets of the data to assess generalization
C) To visualize the data distribution
D) To evaluate the model's performance on new data

2. What is the primary role of a data warehouse in an organization?

A) Data transformation and cleaning
B) Real-time data analysis
C) Long-term data storage and analysis
D) Data exploration and visualization

3. What is the primary function of a data catalog in managing data sources?

A) Data documentation and discovery
B) Data analysis
C) Data visualization
D) Data storage

4. Which of the following is an example of a NoSQL database that is commonly used to store unstructured data?

A) Oracle Database
B) MySQL
C) MongoDB
D) Microsoft SQL Server

5. What is the purpose of regularization techniques in model building, such as L1 and L2 regularization?

A) To speed up model training
B) To add more features to the model
C) To increase model complexity
D) To prevent overfitting and reduce model complexity

Solutions: