A data engineer uploads unpredictable volumes of unstructured data to an Amazon S3 bucket throughout...

The correct answer is B because the workload requires complex processing that can run for 5 to 30 minutes, automatic scaling, and exactly-once-style avoidance of reprocessing source files. AWS Glue jobs are designed for serverless ETL processing over S3 data, and job bookmarks track previously processed source data so the job processes only new data on later runs. AWS documentation states that Glue job bookmarks help prevent reprocessing of old data and can track S3 source files for supported formats. Lambda is a poor fit because it has execution-duration limits and is not ideal for 30-minute complex transformations. EMR and EC2 polling add cluster and infrastructure management. Glue jobs with bookmarks provide the least operational overhead for this data engineering pattern.