Data redundancy is the response B.
The following explains why the other choices are wrong:
A. Data inconsistency: This describes circumstances in which the same data has different values in various database sections. This may result in mistakes and misunderstandings. Data redundancy and data inconsistency are not the same thing, even though they can both contribute to it.
C. Data overflow: This happens when a data type is unable to store a value that is either too big or too small for the range it is intended to hold. This is not about data duplication between files; rather, it is a specific problem with data storage capacity.
D. Invalid data: Information that does not fit the specified requirements for a given field is referred to as invalid data. The existence of duplicate data in several files has nothing to do with it.
Since data redundancy describes the needless duplication of the same data in several places within a database system, it is the right response. This can make data maintenance more difficult, waste storage space, and raise the possibility of inconsistencies.
Data redundancy is the response B.
The following explains why the other choices are wrong:
A. Data inconsistency: This describes circumstances in which the same data has different values in various database sections. This may result in mistakes and misunderstandings. Data redundancy and data inconsistency are not the same thing, even though they can both contribute to it.
C. Data overflow: This happens when a data type is unable to store a value that is either too big or too small for the range it is intended to hold. This is not about data duplication between files; rather, it is a specific problem with data storage capacity.
D. Invalid data: Information that does not fit the specified requirements for a given field is referred to as invalid data. The existence of duplicate data in several files has nothing to do with it.
Since data redundancy describes the needless duplication of the same data in several places within a database system, it is the right response. This can make data maintenance more difficult, waste storage space, and raise the possibility of inconsistencies.