AWS Certified Data Engineer Associate DEA-C01 Practice Question

An e-commerce company runs a nightly AWS Glue Spark ETL job that copies the previous day's CSV files from the s3://staging/orders prefix into partitioned Parquet files in s3://curated/orders. If the job is restarted or rerun manually, it must not ingest objects that were already processed, so that duplicate records are never written. Which Glue job configuration will meet this requirement without adding any custom filtering logic?

  • Configure the job to write to an interim S3 location and then move the data to the curated bucket after completion.

  • Increase the spark.executor.instances property to create additional executors for the job.

  • Turn on speculative execution for the job's Spark tasks.

  • Enable job bookmarks on the Glue job by setting the job parameter --job-bookmark-option to job-bookmark-enable.

AWS Certified Data Engineer Associate DEA-C01
Data Ingestion and Transformation
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