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

1. What is the purpose of data profiling in data source management?

A) To optimize data storage
B) To execute data queries
C) To assess the quality and characteristics of data
D) To create data visualizations

2. What is the purpose of hyperparameter tuning in a machine learning pipeline?

A) To train the model
B) To select the most important features
C) To evaluate the model's predictions
D) To optimize the model's hyperparameters for better performance

3. What is the main advantage of ensemble methods in model building?

A) They combine multiple models to improve predictive performance
B) They produce simple and interpretable models
C) They require minimal data preprocessing
D) They work well with high-dimensional data

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

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

5. Which of the following is NOT a common data format for exchanging data between systems?

A) SQL (Structured Query Language)
B) CSV (Comma-Separated Values)
C) JSON (JavaScript Object Notation)
D) HTML (Hypertext Markup Language)

Solutions: