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Free Amazon MLS-C01 Practice Questions BY Spence

Question 1

[Data Engineering]

A Data Scientist needs to analyze employment dat

a. The dataset contains approximately 10 million

observations on people across 10 different features. During the preliminary analysis, the Data Scientist notices

that income and age distributions are not normal. While income levels shows a right skew as expected, with fewer individuals having a higher income, the age distribution also show a right skew, with fewer older

individuals participating in the workforce.

Which feature transformations can the Data Scientist apply to fix the incorrectly skewed data? (Choose two.)

  • A. Cross-validation
  • B. Numerical value binning
  • C. High-degree polynomial transformation
  • D. Logarithmic transformation
  • E. One hot encoding