Crucial Exams

AWS Certified Data Engineer Associate DEA-C01 Practice Question

A company ingests sales records into Amazon S3 and processes them nightly with an AWS Glue Spark job. The business requires the pipeline to stop automatically if more than 2% of rows have a null order_id so that inaccurate reports are not produced. What is the simplest way to enforce this data quality rule?

  • Modify the ETL script to write counts of order_id nulls to Amazon DynamoDB and use a CloudWatch alarm to stop the job when the threshold is breached.

  • Create an AWS Glue Data Quality ruleset that checks the completeness of the order_id column and configure the Glue job to fail when more than 2% of rows violate the rule.

  • Load the data into an Amazon Redshift staging table that enforces a NOT NULL constraint on order_id and abort the COPY command if invalid rows are detected.

  • Trigger an AWS Lambda function with Amazon EventBridge after the job finishes to run an Athena query that counts null order_id values and manually rerun the job if the threshold is exceeded.

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