After maple-sugar CSVs reach Amazon S3, a small ML team wants a visual flow to profile and start transforms without standing up Amazon EMR first. Which ingest-into-prep step should they take?
Select an answer to reveal the explanation.
Short Explanation
Think of maple-sugar CSVs on S3 and a small team that wants a visual prep flow without standing up EMR first. Connect SageMaker Data Wrangler to the S3 or cataloged source. Hadoop is not the first step.
Full Explanation
SageMaker Data Wrangler connects to the S3 or cataloged source as the entry to visual prep. EMR is not required for that first step. Rekognition and Glacier are not that visual ingest.