MLS-C01 · Question #56
MLS-C01 Question #56: Real Exam Question with Answer & Explanation
Sign in or unlock MLS-C01 to reveal the answer and full explanation for question #56. The question stem and answer options stay visible for context.
Question
Machine Learning Specialist is building a model to predict future employment rates based on a wide range of economic factors. While exploring the data, the Specialist notices that the magnitude of the input features vary greatly. The Specialist does not want variables with a larger magnitude to dominate the model. What should the Specialist do to prepare the data for model training?
Options
- AApply quantile binning to group the data into categorical bins to keep any relationships in the data
- BApply the Cartesian product transformation to create new combinations of fields that are
- CApply normalization to ensure each field will have a mean of 0 and a variance of 1 to remove any
- DApply the orthogonal sparse bigram (OSB) transformation to apply a fixed-size sliding window to
Unlock MLS-C01 to see the answer
You've previewed enough free MLS-C01 questions. Unlock MLS-C01 for full answers, explanations, the timed quiz mode, progress tracking, and the master PDF. Question stem and options stay visible so you can still see what's on the exam.