GCP Professional Cloud Architect Practice Question
Your team operates a multi-region e-commerce API on Google Cloud Load Balancing that fronts Cloud Run services. The business promises customers 99.9 % monthly availability, expressed as a service-level objective (SLO). On-call engineers complain that the current metric-threshold alert fires far too late during traffic spikes and produces false positives when request volume is low. You need to replace it with a single Cloud Monitoring alerting policy that detects real incidents quickly while remaining quiet during low-traffic periods-without requiring manual tuning as traffic changes. Which alert configuration best satisfies these requirements?
Configure an uptime-check policy that alerts if calculated availability drops below 99.9 % over a rolling 30-day window.
Create an SLO-based alerting policy that triggers when the error-budget burn rate exceeds 2 % over 1 hour OR 5 % over 6 hours for the 99.9 % availability SLO.
Send an alert whenever the load balancer records any 5xx responses during a one-minute alignment period.
Define a metric-threshold policy that fires when the backend service's 5xx ratio exceeds 0.1 % for five consecutive minutes.
An SLO error-budget burn-rate alert inherently incorporates both the remaining error budget and current request volume, so its sensitivity scales with traffic. Google's recommended pattern is a two-window multi-burn-rate policy: a short window (1 hour) that triggers if 2 % of the monthly error budget is consumed, and a long window (6 hours) that triggers if 5 % is consumed. This combination catches rapid budget depletion during peak load (fast detection) and avoids noise when only a few requests fail. Metric-threshold or uptime-check policies lack error-budget context and demand manual tuning, and firing on every 5xx is overly sensitive.
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What is an SLO error-budget burn rate?
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Why is a multi-window burn-rate policy recommended in this scenario?
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How does an SLO-based alert differ from a metric-threshold alert?
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What is an SLO and how is it different from an SLA?
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What is an error-budget burn rate, and why is it critical in monitoring reliability?
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Why are metric-threshold alerts less effective for dynamic traffic patterns in cloud environments?
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