Crucial Exams

AWS Certified Data Engineer Associate DEA-C01 Practice Question

A company ingests a daily CSV of ecommerce transactions into Amazon S3. The data engineering team must fail the downstream ETL pipeline if more than 1% of rows have a null customer_id or if any order_date is before 2020-01-01. They want to define these checks once and reuse them on future datasets without coding. Which AWS feature should they use?

  • Create an AWS Glue DataBrew data quality ruleset and attach it to a DataBrew profile job.

  • Invoke an AWS Lambda function from Amazon EventBridge to scan the file and throw an error when invalid rows are found.

  • Configure an AWS Glue crawler with custom classifiers to reject files that do not meet the conditions.

  • Run a scheduled Amazon Athena query that selects rows violating the conditions and check if the result set is empty.

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