Crucial Exams

AWS Certified Data Engineer Associate DEA-C01 Practice Question

A company ingests daily sales data into Amazon S3 as CSV files. In Amazon SageMaker Data Wrangler, a data engineer must add a repeatable step that (1) flags-but does not remove-any rows whose total_price value is more than three standard deviations above or below the column mean and (2) lets analysts later calculate the percentage of rows that contain such values. Which built-in Data Wrangler transform meets these requirements with the least custom code?

  • Standard Deviation Numeric Outliers (Fix method: Invalidate)

  • Remove outliers using the IQR method

  • Generate descriptive statistics summary

  • Replace missing values with median

AWS Certified Data Engineer Associate DEA-C01
Data Operations and Support
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