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CompTIA Data+ DA0-002 (V2) Practice Question

During the monthly refresh of a sales dashboard, an ETL pipeline ingests a third-party CSV file into a staging table and then loads it into the data warehouse. After the most recent run, thousands of rows now display NULL in the Customer_ID column, so lookup joins in downstream reports fail. A quick inspection shows the vendor changed the file delimiter from a comma to a pipe (|), shifting every field by one position. Which report-validation technique, if it had been executed immediately after the staging load, would most likely have detected this corrupt data before it reached the dashboard?

  • Add a calculated field in the dashboard that substitutes "Unknown" for any NULL Customer_ID value.

  • Increase the ETL job frequency from monthly to hourly so future files are processed sooner.

  • Apply corporate branding and color-scheme guidelines to the dashboard template before publication.

  • Perform a source-to-target reconciliation that checks row counts and column-level hash totals between the CSV and the staging table.

CompTIA Data+ DA0-002 (V2)
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