Detecting and correcting data in a database or file that are incorrect,incomplete,improperly formatted,or redundant is called:
A)data auditing.
B)defragmentation.
C)data scrubbing.
D)data optimization.
E)data normalization.

Question

Quizplus · Accepted Answer

The process of detecting and correcting errors, inconsistencies, and inaccuracies in data is known as data scrubbing. It includes identifying missing data, improperly formatted data, duplicate data and correcting or removing them from the database or file. Data auditing is a broader concept that involves conducting a comprehensive review of data to ensure accuracy, completeness, and integrity. Defragmentation is a process of organizing files on a hard drive to improve performance. Data optimization is the process of improving the performance of a database by organizing data in a way that helps it to perform better. Data normalization is a process of organizing data fields and tables in a relational database to minimize redundancy and ensure data integrity.

Detecting and Correcting Data in a Database or File That