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SASInstitute SAS® Viya® Supervised Machine Learning Pipelines Sample Questions:
1. What is "model deployment" in the context of data science and machine learning?
A) The process of data cleaning
B) The process of selecting features
C) The process of building a model
D) Making the model available for use in real-world applications
2. What is the main advantage of ensemble learning methods, such as Random Forest, in a machine learning pipeline?
A) They are not suitable for large datasets.
B) They combine multiple models to improve predictive performance.
C) They are simple and easy to interpret.
D) They require minimal data preprocessing.
3. Which evaluation metric is commonly used for assessing the performance of a binary classification model?
A) Accuracy
B) R-squared
C) Mean Absolute Error (MAE)
D) Root Mean Squared Error (RMSE)
4. Which of the following is a common source for external data in the context of business analytics?
A) Intranet databases
B) CRM data
C) Company financial reports
D) Employee records
5. Which hyperparameter in a decision tree model controls the depth of the tree and helps prevent overfitting?
A) Max depth
B) Learning rate
C) Min samples split
D) Max features
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: B | Question # 3 Answer: A | Question # 4 Answer: C | Question # 5 Answer: A |
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Rodney 
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