Which concept describes data that persists beyond the life of the process that created it?

Which concept describes data that persists beyond the life of the process that created it?

• A. Data availability
• B. Data integrity
• C. Data redundancy
• D. Data persistence

Answer: (D)

Data persistence refers to information that continues to exist after the process that created it has ended, typically stored in non-volatile storage such as disk, a database, or a file system. This lets you retrieve the data later, even after the program terminates. Data availability is about being able to access data when needed, which can involve in-memory or network access and does not guarantee survival after a process ends. Data integrity focuses on the accuracy and consistency of data, protecting it from corruption, not on how long data lasts. Data redundancy involves duplicating data to improve reliability or fault tolerance, which supports reliability but isn’t the idea of enduring beyond the creating process. Therefore, data persistence best describes data that persists beyond the life of the process that created it.

Data persistence refers to information that continues to exist after the process that created it has ended, typically stored in non-volatile storage such as disk, a database, or a file system. This lets you retrieve the data later, even after the program terminates. Data availability is about being able to access data when needed, which can involve in-memory or network access and does not guarantee survival after a process ends. Data integrity focuses on the accuracy and consistency of data, protecting it from corruption, not on how long data lasts. Data redundancy involves duplicating data to improve reliability or fault tolerance, which supports reliability but isn’t the idea of enduring beyond the creating process. Therefore, data persistence best describes data that persists beyond the life of the process that created it.