GCP Professional Cloud Architect Practice Question
An e-commerce retailer suffered a 15 % conversion drop during last year's holiday rush when its on-premises checkout service failed to scale. The CIO has approved migrating the checkout API to Google Cloud. In the new design, the service will run on Google App Engine behind Apigee and Cloud Armor.
You have defined a service-level objective (SLO) that 95 percent of checkout requests complete in under 350 ms. Senior leadership asks how this technical objective will translate into a measurable revenue benefit.
As the lead cloud architect, which strategy most effectively links the checkout SLO to a tangible business outcome that the executive team will recognize as customer success?
Track the number of production deployments per week after adopting Cloud Build and Cloud Deploy to demonstrate improved engineering velocity.
Compare monthly App Engine spend with the projected capital cost of expanding the former on-premises server cluster hosting the checkout service.
Report compliance with the 95th-percentile 350 ms latency SLO together with quarterly trends in Customer Lifetime Value (CLV) to show that faster checkouts correlate with higher revenue per customer.
Monitor App Engine instance CPU utilization and scaling events to verify the platform remains under 70 percent average load during peak traffic.