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

1. What does the term "bagging" refer to in ensemble learning?

A) A form of dimensionality reduction
B) A technique that reduces model complexity
C) A type of feature extraction
D) The process of combining multiple identical models to reduce variance

2. In natural language processing, what does "stemming" involve?

A) Reducing words to their base or root form
B) Converting text to numbers for model input
C) Grouping similar words together based on their meanings
D) Creating new words to improve model performance

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

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

4. What is the primary purpose of model deployment in the context of data science and machine learning?

A) Making the model available for use in real-world applications
B) Data preprocessing
C) Model evaluation
D) Model building

5. When deploying a model, what is "model explainability"?

A) The capability to interpret and understand the model's decisions and predictions
B) The time it takes to make predictions
C) The process of data preprocessing
D) The simplicity of the model

Solutions: