GCP Professional Cloud Architect Practice Question

Your company runs a global e-commerce platform on Google Cloud. The checkout service is a stateless Cloud Run service fronted by Cloud Load Balancing. Orders are written to a regional Cloud SQL for MySQL instance, queued in Pub/Sub, and processed by Cloud Functions. Historical data and market analysis predict that traffic will spike to ten times normal levels during an upcoming 48-hour holiday promotion that begins in six weeks. You are the lead cloud architect tasked with ensuring that platform capacity and Google Cloud quotas will not constrain the event. What should you do first to minimize the risk of quota exhaustion while keeping operational effort low?

Migrate the checkout service to Compute Engine preemptible VM instances to avoid Cloud Run instance limits and rely on managed instance group autohealing.
Trust Google Cloud's automatic scaling with default quotas and open a P1 support ticket if 429 or 5xx errors occur during the promotion.
Disable high-availability configuration on Cloud SQL to reduce failover overhead and free up connection quota for additional clients.
Run representative load tests to estimate peak resource usage, then submit quota increase requests for Cloud Run, Cloud SQL, and Pub/Sub in the required regions several weeks before the sale.

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Answer Description

Google recommends that customers perform load testing to quantify the peak resource demand they expect and then proactively submit quota increase requests well in advance-ideally several weeks before anticipated surges such as holiday promotions. By calculating how many vCPU-seconds, Cloud Run instances, Cloud SQL connections, and Pub/Sub throughput will be required, and requesting the corresponding regional quota increases through the Google Cloud Console, the team secures sufficient headroom before the sale starts. Relying on default quotas or ad-hoc escalation during the event risks throttling and user-visible errors, and re-architecting the workload introduces unnecessary complexity without directly addressing quota limits.

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