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GCP Professional Cloud Architect Practice Question

An online travel platform runs about 50 microservices on GKE Autopilot in three regions. Architects must:

  1. page operators when the 95th-percentile latency from the external HTTP(S) load balancer to the booking API exceeds 300 ms for 5 minutes (burn-rate alert on an SLO).
  2. let engineers view end-to-end request traces, including backend database calls, without modifying application code. Which approach meets both goals with the least operational effort?

  • Configure a Cloud Monitoring uptime check against the booking endpoint with an alerting policy on availability, and deploy the Cloud Trace agent as a DaemonSet in each cluster to capture traces.

  • Enable Anthos Service Mesh so Envoy sidecars automatically export request-latency distribution metrics to Cloud Monitoring; define an SLO with burn-rate alerting on the 95th-percentile latency metric; rely on ASM's built-in Cloud Trace integration for distributed tracing.

  • Create a logs-based metric for request latency, attach a burn-rate alert to it, and instrument all services with OpenTelemetry libraries to emit Cloud Trace spans.

  • Install Prometheus and Jaeger in each cluster to scrape service metrics and collect traces, then create Prometheus-based alert rules for high latency.

GCP Professional Cloud Architect
Designing and planning a cloud solution architecture
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