Question

When the same, non-key data element is stored multiple times in a table it creates an anomaly known as the:

A. Delete Anomaly.
B. Update Anomaly.
C. Insert Anomaly.
D. None of the above.

Answer 1

The correct answer is option B. Update Anomaly, which occurs when inconsistencies arise from not updating all instances of the same non-key data element stored multiple times in a database table.

Step-by-step explanation:

The Update Anomaly arises when a non-key data element is redundantly stored in a table, leading to inconsistencies during updates. This occurs when modifying one instance of the data element causes disparities across the table. Consider a scenario where a student's grade is duplicated in a table, and updating one occurrence without synchronizing others generates an update anomaly. This redundancy can compromise data integrity, introducing discrepancies that may affect the reliability of the information.

To mitigate such anomalies, normalization techniques are employed in database design, aiming to reduce redundancy and dependency in order to maintain consistent and accurate data across the entire table. Addressing update anomalies is crucial for ensuring the reliability and coherence of databases in various applications.