Crucial Exams

AWS Certified Data Engineer Associate DEA-C01 Practice Question

An analytics team needs to validate daily order files from Amazon S3 using AWS Glue DataBrew. The team must produce a data quality report that verifies the order_id column is unique and contains no missing values. The validation must run against the entire dataset. How can the team accomplish this using only AWS Glue DataBrew?

  • Create a DataBrew recipe that filters out duplicate and null order_id values, then run a recipe job. Review the job logs to identify removed rows.

  • Use an AWS Glue crawler to infer the schema, then query the resulting Data Catalog table with Amazon Athena to find duplicate and null order_id values.

  • Create a DataBrew data quality ruleset with rules to check for unique values and missing values in the order_id column. Run a DataBrew profile job on the dataset and associate the ruleset with the job.

  • Run a DataBrew profile job on the dataset. From the column statistics in the profile report, manually calculate the percentage of unique and non-null values.

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