A regional power grid enterprise operates an automated Demand Response platform on Google Cloud. Grid sensors stream load telemetry into Cloud Pub/Sub, which is processed by Apache Beam pipelines on Dataflow to trigger emergency load-shedding commands to industrial facilities during grid overload events. Business leadership reports that failing to issue load-shedding commands within during critical grid overload events causes regulatory penalties of per incident. However, telemetry processing latency up to during standard operating conditions carries zero financial penalty and does not compromise grid stability.
The Cloud Architect must align the technical SRE framework with business objectives to mitigate financial risk while avoiding unnecessary infrastructure spending. Which TWO strategies should the architect implement? (Select TWO.)
- Define a conditional, event-scoped Service Level Indicator (SLI) measuring the ratio of load-shedding requests completed within exclusively during high-load grid events.Answer
- Establish multi-window, multi-burn-rate alerting on the critical event Service Level Objective (SLO) to trigger automated worker scaling or SRE incident response prior to budget exhaustion.Answer
- CDefine a unified global 24/7 Service Level Agreement (SLA) target of latency compliance across all Pub/Sub and Dataflow telemetry pipelines.
- DConfigure static CPU utilization alert thresholds on Dataflow worker instances at to detect processing delays.