What is the probability that a failed solution can be restored to normal operations within a given time period?

What is the probability that a failed solution can be restored to normal operations within a given time period?

• A. Performance
• B. Recoverability
• C. Scalability (KPI)
• D. Threshold

Answer: (B)

This question tests recoverability—the ability to bring a failed solution back to normal operations within a defined time window. Recoverability is tied to how quickly and reliably you can restore services after a disruption, often guided by recovery objectives like the RTO (recovery time objective). If backups, redundancy, and failover processes let you restore within the given period, you have high recoverability. Performance relates to how efficiently the system runs, scalability deals with handling growth, and a threshold is a limit that triggers actions. None of those directly measure the likelihood of restoring operations within a set time, which is why recoverability is the best fit.

This question tests recoverability—the ability to bring a failed solution back to normal operations within a defined time window. Recoverability is tied to how quickly and reliably you can restore services after a disruption, often guided by recovery objectives like the RTO (recovery time objective). If backups, redundancy, and failover processes let you restore within the given period, you have high recoverability.

Performance relates to how efficiently the system runs, scalability deals with handling growth, and a threshold is a limit that triggers actions. None of those directly measure the likelihood of restoring operations within a set time, which is why recoverability is the best fit.