Information Systems and Controls (ISC) CPA Practice Exam 2026 – Your All-in-One Guide to Mastering CPA Success!

A critical part of a data recovery strategy is the implementation of automated backup processes. Automation ensures that data backups are performed consistently and regularly, minimizing the risk of human error and ensuring that the most current data is always available for recovery. This can help to reduce downtime and the potential for data loss in the event of a system failure, disaster, or cyber incident.

Automated backups also allow for efficient management of backups, including scheduling regular intervals and ensuring that all required data is backed up without requiring continuous manual intervention. This not only saves time but also enhances reliability, as automation can be programmed to follow best practices for frequency and data retention.

In comparison, relying solely on on-site data backups does not provide the redundancy needed for a comprehensive recovery strategy, as it leaves the organization vulnerable to local threats such as natural disasters or theft. Setting limitations on backup testing can also lead to untested recovery practices, which may result in failures during actual recovery scenarios. Lastly, manual data storage is inherently riskier due to the dependence on human action, which can introduce various errors and inconsistencies. Thus, automated backup processes form a foundational aspect of effective data recovery strategies.