GCP Professional Cloud Architect Practice Question
Your company operates a global media-streaming backend on Google Kubernetes Engine. The platform enforces a 99.5 % availability SLO for the playback API calculated over a rolling 30-day window. Operators want an alert whenever 50 % of the monthly error budget is burned within any single day so that mitigation can begin early. Which alerting policy configuration in Cloud Monitoring meets this requirement while avoiding unnecessary noise?
Create an SLO-based alert policy that triggers when the burn rate reaches 1 during a rolling 24-hour evaluation window.
Configure an uptime check for the playback endpoint and raise an alert when two consecutive probes fail.
Create an SLO-based alert policy that triggers when the burn rate exceeds approximately 15 over a 24-hour alignment period.
Create a metric-threshold alert on the request success ratio that fires when availability drops below 99 % for the last 24 hours.
A 99.5 % availability SLO leaves a 0.5 % error budget for the 30-day window. Burning half of that budget (0.25 %) in one day means the system is consuming budget 15 × faster than planned: 0.25 % / (0.5 % ÷ 30) ≈ 15. An SLO-based alert that fires when the burn rate exceeds this value evaluates the SLO directly and raises an alarm as soon as budget consumption becomes risky, while suppressing alerts caused by minor, brief fluctuations. A burn-rate threshold of 1 would miss the target, a simple availability-percentage alert ignores the error-budget calculation and can be either too sensitive or too lax, and an uptime-check alert measures endpoint reachability, not SLO compliance.
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What is an error budget in SLO monitoring?
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