The term that describes duplicate data in multiple data files is called 'data redundancy. Reducing such redundancy is a key aspect of efficient database management to maintain data integrity and avoid wasted resources.
Duplicate data in multiple data files is referred to as data redundancy. This occurs when the same piece of data exists in multiple places, typically in a database or data storage system. Data redundancy can lead to issues such as wasted storage space, increased difficulty in data management, and potential inconsistencies if the data is updated in one location but not others. In the context of database design, much effort is put into normalizing databases to reduce data redundancy and improve efficiency.
Normalization is a process in database design that minimizes redundancy by organizing data into tables and establishing relationships between them. This helps maintain data accuracy and integrity.
The correct answer to the question is A) redundancy. Data redundancy is a common concern in the field of Computers and Technology, particularly within roles focused on data management and database design.