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

1. Which of the following is a common technique for handling missing data in a machine learning pipeline?

A) Deleting rows with missing data
B) Ignoring missing data
C) Replacing missing values with zeros
D) Imputing missing values

2. Which evaluation metric is commonly used for assessing the performance of a regression model?

A) Confusion Matrix
B) F1 Score
C) Precision
D) Mean Absolute Error (MAE)

3. What is the main advantage of using a RESTful API (Representational State Transfer) as a data source?

A) Real-time data processing
B) Support for complex data structures
C) Simple and standardized communication
D) High security features

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

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

5. What does "data lineage" refer to in the context of data source management?

A) The history of data transformation processes
B) The physical location of data storage
C) The structure of a relational database
D) The security protocols for data access

Solutions: