Which term identifies and corrects data integrity issues?

Which term identifies and corrects data integrity issues?

• A. Error Detection
• B. Compliance Standards
• C. Transaction-based Rights
• D. Separation of Duties

Answer: (A)

Data integrity is about keeping data accurate and complete so it hasn’t been corrupted or altered unintentionally. Mechanisms that identify data integrity issues are designed to flag when something has gone wrong, so corrective actions can be taken. This is where error detection comes into play: it uses checks like checksums, parity, hash values, or CRCs to verify that the data received or stored matches the original, and if a mismatch is found, an error is detected. That’s why this term is the best fit here: it directly describes the capability to reveal when data integrity is compromised. Other options relate to governance or access controls rather than detecting data corruption, so they don’t address identifying data integrity issues as specifically.

Data integrity is about keeping data accurate and complete so it hasn’t been corrupted or altered unintentionally. Mechanisms that identify data integrity issues are designed to flag when something has gone wrong, so corrective actions can be taken. This is where error detection comes into play: it uses checks like checksums, parity, hash values, or CRCs to verify that the data received or stored matches the original, and if a mismatch is found, an error is detected.

That’s why this term is the best fit here: it directly describes the capability to reveal when data integrity is compromised. Other options relate to governance or access controls rather than detecting data corruption, so they don’t address identifying data integrity issues as specifically.