Crucial Exams

AWS Certified Data Engineer Associate DEA-C01 Practice Question

A data engineer is building an AWS Glue PySpark job that runs hourly data-quality checks on a 10 TB orders dataset stored in Amazon S3. The data is heavily skewed across 12 distinct values in the order_status column; several rare statuses represent business-critical exceptions. The team must minimize cost by reading only a small fraction of the dataset while guaranteeing that every status is examined during each run. Which sampling technique BEST satisfies these requirements?

  • Implement stratified sampling on the order_status column so each status contributes a proportionate subset of records to every hourly sample.

  • Apply reservoir sampling in a single pass to collect a fixed-size subset of records.

  • Perform simple random sampling without replacement on the entire dataset at a fixed 1 percent rate.

  • Use systematic sampling by sorting the data and selecting every Nth record.

AWS Certified Data Engineer Associate DEA-C01
Data Operations and Support
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