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AWS Certified Solutions Architect - Associate · AWS
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B: Glue can delete DataSet but this option is too vague to consider or too open to mean anything C: Won't help with repeated ETL. This property affects parallelism D: Too vague
https://docs.aws.amazon.com/glue/latest/dg/monitor-continuations.html
The best solution is to edit the AWS Glue job to use job bookmarks. Job bookmarks allow AWS Glue ETL jobs to track which data has already been processed during previous runs. This prevents reprocessing of old data. Deleting the data after processing would cause the data to be lost and unavailable for future processing. Reducing the number of workers may improve performance but does not prevent reprocessing of old data. Using a FindMatches ML transform is used for record matching, not preventing reprocessing. So the solutions architect should enable job bookmarks in the AWS Glue job configuration. This will allow the ETL job to keep track of processed data and only transform the new data added since the last run.