Professional Cloud DevOps Engineer
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Your team manages critical Compute Engine workloads where unexpected storage and memory exhaustion can cause application downtime. You need to implement a proactive incident management workflow in Cloud Monitoring that satisfies the following requirements:
Which configuration should you implement in Cloud Monitoring?
Create a standard metric-threshold alerting policy configured with 'Missing data points treated as values that violate the policy condition' and add a custom notification subject line.
Configure an alerting policy snooze with a 12-hour recurring schedule, set evaluation of missing data to inactive, and assign the Monitoring Cloud Console Incident Editor role to the responder group.
Create a forecasted metric-value alerting policy with a 12-hour forecast window, configure a retest window under advanced options, attach custom policy user labels for severity, and embed playbook links with markdown variables in the documentation section.
Create a metric-absence alerting policy with a trigger duration of 12 hours, set the auto-close duration to 30 minutes, and configure Cloud Logging export sinks to BigQuery.
Create a standard metric-threshold alerting policy configured with 'Missing data points treated as values that violate the policy condition' and add a custom notification subject line.
Configure an alerting policy snooze with a 12-hour recurring schedule, set evaluation of missing data to inactive, and assign the Monitoring Cloud Console Incident Editor role to the responder group.
Create a forecasted metric-value alerting policy with a 12-hour forecast window, configure a retest window under advanced options, attach custom policy user labels for severity, and embed playbook links with markdown variables in the documentation section.
A forecasted metric-value alerting policy in Cloud Monitoring uses predictive decision algorithms trained on historical time-series data to evaluate whether a metric will violate a specified threshold within a future time window (the forecast window).
StudyCerts
StudyCertsseverity: critical) annotates incidents for proper upstream routing in incident management systems, while including markdown-formatted playbook links and documentation variables (${metric.display_name}, ${resource.name}) directly delivers actionable remediation context to on-call engineers.Create a metric-absence alerting policy with a trigger duration of 12 hours, set the auto-close duration to 30 minutes, and configure Cloud Logging export sinks to BigQuery.