GCP Professional Cloud Architect Practice Question
An EU-based ticketing company will migrate its containerized web application from on-premises to Google Cloud. The service must: handle 10× traffic spikes without operator action, survive loss of an entire region, keep customer data in the EU, achieve 15-minute RPO and 1-hour RTO, and cost less than adopting Cloud Spanner. Which high-level architecture best meets these business requirements?
Deploy the workload to a regional GKE Autopilot cluster with nodes in multiple zones of europe-west1; use a single-region Cloud SQL for MySQL HA instance in the same region; front-end with Cloud CDN and a global external HTTP(S) Load Balancer.
Migrate to App Engine standard environment in the EU multiregion and store all transactional data in a multi-region Cloud Spanner instance with automatic leader rebalancing.
Use managed instance groups in two zones of europe-west1 and host MySQL on Compute Engine VMs; copy nightly persistent-disk snapshots to a dual-region Cloud Storage bucket; serve traffic through a regional external HTTP(S) Load Balancer.
Run the containers on Cloud Run in europe-west1 and europe-west4 behind a global external HTTP(S) Load Balancer; use a Cloud SQL for MySQL HA primary in europe-west1 with a cross-region read replica in europe-west4 that is promoted if the primary region fails; schedule 5-minute automated backups.
Running the stateless application on Cloud Run in two European regions allows automatic scale-out from zero to many instances without manual intervention and can be fronted by a global external HTTP(S) Load Balancer that provides cross-regional fail-over. Storing data in Cloud SQL for MySQL with a highly available primary instance in europe-west1 and an asynchronous cross-region read replica in europe-west4 keeps data within the EU, delivers an RPO of seconds to minutes (well under 15 minutes), and-after scripted promotion-meets the 1-hour RTO target. Because Cloud SQL is priced per-instance and per-GB rather than per-node like Cloud Spanner, it offers lower total cost for typical ecommerce database sizes.
The GKE-only and single-region designs do not meet the regional fail-over requirement, while the App Engine plus Cloud Spanner option satisfies the objectives but violates the cost-optimization mandate. Nightly snapshot-based replication cannot achieve the required 15-minute RPO.
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What is Cloud Run and how does it handle traffic spikes?
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What is RPO and RTO, and why are they important?
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Why is Cloud SQL a better choice than Cloud Spanner for this use case?
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What is Cloud Run and how does it enable automatic scale-out?
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Why is Cloud SQL preferred over Cloud Spanner for this implementation?
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How does a global external HTTP(S) Load Balancer provide cross-region failover?
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GCP Professional Cloud Architect
Designing and planning a cloud solution architecture
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