Intrigued by the art of cloud architecture? Discover how to design, develop, and manage robust, secure, scalable, and dynamic solutions on Google Cloud as you prepare for the Professional Cloud Architect exam!
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Prepare and test your skills
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An e-commerce enterprise is preparing for an annual flash sale and needs to validate that its multi-tier web application hosted on Google Cloud meets a strict Service Level Objective (SLO) of 99.9% availability with 95th-percentile response times under 250 ms during peak load.
The application architecture comprises an External Application Load Balancer, an autoscaled managed instance group (MIG) across multiple zones, and a distributed backend database. During initial 3-minute load test runs generated from an on-premises VM, the backend autoscaling triggers properly, but performance metrics show erratic latency spikes, and the target compute resources fail to reach expected utilization thresholds.
Which load testing strategy should you execute to identify performance bottlenecks and accurately validate system scalability against the SLOs?
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