GCP Professional Cloud Architect Practice Question
As lead architect for a multi-region e-commerce platform running on managed instance groups behind global external HTTP(S) Load Balancing, you must verify that the autoscaling policy and project quotas can absorb a planned 10× traffic spike for an upcoming one-hour flash sale. The test must reproduce the current request mix, be isolated from production users, and allow the SRE team to observe CPU, RPS, and quota metrics in real time. Which strategy best meets these requirements?
Use Traffic Director to mirror 10 % of live production traffic to a new backend service, observe performance, and extrapolate results to full load.
Configure Cloud Monitoring uptime checks to generate the anticipated peak request rate directly against the production load balancer and monitor the resulting metrics.
Deploy the Distributed Load Testing on Google Cloud solution in a separate project, target a staging environment that mirrors production autoscaling settings, and add both projects to the same Cloud Monitoring workspace for live metric analysis.
Increase the minimum size of all production managed instance groups to the projected maximum and wait for the flash-sale traffic to confirm capacity.
The Distributed Load Testing on Google Cloud solution spins up multiple load-generator pods (for example, Locust or JMeter) that can replay realistic request mixes at scale. Running it in a separate project and aiming it at a staging environment that is configured with the same machine types, autoscaling policies, and quota limits keeps real customers unaffected while still exercising the full stack. Because Cloud Monitoring workspaces can aggregate metrics from multiple projects, the SRE team can view staging metrics such as CPU utilization, requests per second, and quota consumption alongside production dashboards in real time. Synthetic uptime checks cannot generate sustained high-throughput load; traffic mirroring with Traffic Director is not currently supported for HTTP(S) Load Balancing, and relying on the actual flash sale provides no opportunity to remediate capacity issues beforehand.
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