Which of the following is NOT a data quality rule?

• A. Data archiving.
• B. Null checks.
• C. Deduplication.
• D. Validity checks.

Answer: (A)

Data quality rules are validations that enforce the integrity of data as it is created and used. Null checks ensure values exist and aren’t missing in critical fields. Deduplication removes duplicate records so you don’t have multiple sources of the same data. Validity checks confirm that values conform to expected formats, ranges, or domain constraints. Data archiving, by contrast, is about how long data is kept and where it is stored—a data lifecycle or retention practice, not a rule that validates or enforces data content. It can help manage data volume and compliance, but it doesn’t perform a validation itself. So data archiving is not a data quality rule.