Final answer:
Controlling redundancy in database systems is key to maintaining data consistency. Unchecked redundancy can create multiple, unsynced copies of data, leading to inconsistency. Properly managed redundancy ensures that every copy of the data reflects the same accurate and updated information.
Step-by-step explanation:
The question revolves around the concept of redundancy in data management and its impact on consistency. In database systems, redundancy refers to the duplication of data. Controlling redundancy is vital because excessive or unmanaged redundancy can lead to inconsistencies within the database.
When multiple copies of the same data exist, there is a risk that they will not all be updated simultaneously, leading to versions of data that are out of sync, which is inconsistent. The correct answer to the question is that redundancy can lead to inconsistency (c).
When redundancy is properly managed, however, it can help ensure that all data remain consistent across the system. Data integrity is maintained when redundancy is controlled, preventing the occurrence of discrepancies that would otherwise arise from data being stored in multiple places.