Emergency management needs timely notice when Databricks job failure metrics rise during storm season. What should they configure?

Emergency management that needs timely notice when Databricks job failure metrics rise during storm season should configure Azure Monitor alerts on job failure and related operational metrics for storm-season response. Alerts turn metric thresholds into actionable notifications for on-call civic staff so EOC workflows can respond before backlog and SLA damage compound. Azure Service Health alerts on job failure and related operational metrics fail because Service Health tracks Azure platform service issues and regional health events rather than hosting custom metric threshold rules, so it can't fire timely notifications when Databricks job failure metrics rise during overnight storms. Azure Resource Health alerts on job failure and related operational metrics fail because Resource Health reports per-resource availability and health status rather than evaluating Databricks job failure metric thresholds, so it won't notify responders when emergency jobs fail during storm-season response. Azure Advisor alerts on job failure and related operational metrics fail because Advisor issues periodic best-practice and optimization recommendations rather than real-time metric threshold notifications, so it won't alert responders when emergency jobs start failing. Exam caveat: DP-750 operational monitoring emphasizes Azure Monitor alerting on job health metrics, not Service Health alerts, Resource Health alerts, or Advisor alerts. Operational check: define failure-rate or failed-run alert rules for critical emergency jobs, route them to the storm-season on-call channel, and test that a deliberate failed run fires the alert within the expected window.