CV0-003 · Question #109
Which of the following is a best practice used in relation to MTBF?
The correct answer is B. Proactively replace components before they fail. MTBF (Mean Time Between Failures) is a reliability metric that predicts average component lifespan before failure, and the best practice is to use that prediction to proactively replace components before an unplanned outage occurs.
Question
Which of the following is a best practice used in relation to MTBF?
Options
- ADetermine backup schedule based on uptime requirements
- BProactively replace components before they fail
- CDetermine downtime to perform a system recovery
- DReactively replace components after failure
How the community answered
(51 responses)- A2% (1)
- B90% (46)
- C2% (1)
- D6% (3)
Why each option
MTBF (Mean Time Between Failures) is a reliability metric that predicts average component lifespan before failure, and the best practice is to use that prediction to proactively replace components before an unplanned outage occurs.
Backup schedules are driven by RPO (Recovery Point Objective), not by MTBF, which measures time between hardware failures rather than data recovery windows.
MTBF data gives administrators a statistical prediction of component lifespan, enabling proactive replacement of components before they reach their expected failure point and cause unplanned outages. By scheduling replacements based on MTBF thresholds, organizations reduce unexpected downtime and maintain system availability. This is the core operational use of MTBF - converting failure prediction data into preventive maintenance actions.
Determining downtime for system recovery relates to MTTR (Mean Time To Recovery), a separate metric that measures restoration time after failure, not the interval between failures.
Reactively replacing components after failure ignores the predictive value of MTBF entirely and results in the avoidable unplanned downtime that MTBF analysis is designed to prevent.
Concept tested: MTBF-driven proactive component replacement strategy
Source: https://learn.microsoft.com/en-us/azure/well-architected/reliability/metrics
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