Free SASInstitute A00-406 Exam Dumps Questions & Answers

What is "model deployment" in the context of data science and machine learning?

• A.The process of data cleaning
• B.Making the model available for use in real-world applications
• C.The process of selecting features
• D.The process of building a model

Which evaluation metric is commonly used for assessing the performance of a binary classification model?

• A.R-squared
• B.Accuracy
• C.Root Mean Squared Error (RMSE)
• D.Mean Absolute Error (MAE)

Which statements are true for the F1 score?
(Choose 2.)

• A.F1 score is calculated based on a depth value.
• B.F1 score is calculated based on a cut off value.
• C.F1 score is applicable to a model with a binary target.
• D.F1 score is applicable to a model with an interval target.

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

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

What is metadata in the context of data sources?

• A.Data that is encrypted for security
• B.Data that is stored in a physical format
• C.Data about data, providing information such as data source, structure, and context
• D.Data that is in a non-standard, proprietary format