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

1. What is the primary difference between supervised and unsupervised learning in model building?

A) The presence or absence of a target variable
B) The use of feature engineering
C) The amount of labeled data required
D) The type of data used

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

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

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

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

4. Which of the following is a common source for external data in the context of business analytics?

A) Intranet databases
B) Company financial reports
C) Employee records
D) CRM data

5. What is a common example of an external data source for an organization?

A) Customer surveys
B) Employee databases
C) Intranet portals
D) Internal emails

Solutions: