Question 54 of 68
Single answerCertylQ A company uses Amazon SageMaker for its ML workloads. The company's ML engineer receives a 50 MB Apache required. What should the ML engineer do to drop the unnecessary columns in the file with the LEAST effort?
ADownload the file to a local workstation. Perform one-hot encoding by using a custom Python script.
BCreate an Apache Spark job that uses a custom processing script on Amazon EMR.
CCreate a SageMaker processing job by calling the SageMaker Python SDK.
✓DCreate a data flow in SageMaker Data Wrangler. Configure a transform step.
✓
Correct Answer: D
Create a data flow in SageMaker Data Wrangler. Configure a transform step.
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Explanation
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