Your company is planning a large marketing event for an online retailer during the holiday shopping season. You are expecting your web application to receive a large volume of traffic in a short perio

Anthos Service Mesh helps identify issues on a topology map during runtime, but it's a deployment and observability tool, not a primary preparation step for potential failures at scale, nor is it universally applicable for capacity planning.

Configuring Cloud Monitoring to capture relevant system metrics and creating alerts for thresholds is critical to detect and respond to issues caused by high traffic in real-time.

Reviewing and planning for increased capacity requirements, specifically managing quotas, is a foundational step to ensure that the infrastructure can actually scale to meet the expected traffic demands without hitting arbitrary service limits.

Monitoring latency is important during the event, but 'preparing for potential failures' means establishing the monitoring system (B) and capacity (C) beforehand, rather than just waiting to monitor a specific metric.

While creating alerts for common failures is good, it's less comprehensive than ensuring all relevant system metrics are captured (B) and planning for capacity (C) when anticipating a large, unknown traffic surge.