GCP Professional Cloud Architect Practice Question

Your organization hosts 650 TB of scientific imagery on an on-premises NFS share. The WAN link to Google Cloud provides 1 Gbps but is already 50 percent utilized by production traffic. Management requires that all images be available in a Cloud Storage Standard bucket in us-central1 within 20 days, without disrupting existing operations. After the bulk migration, about 400 GB of new or changed data must continue syncing daily until final cut-over. Which data-transfer plan best meets these constraints?

Deploy multiple Storage Transfer Service agents on-premises and run one-time and daily recurring transfer jobs over the existing WAN link.
Ship a 480-TB (or multiple) Transfer Appliance for the initial load, then use Storage Transfer Service agents to perform daily incremental transfers over the WAN until cut-over.
Order a 10-Gbps Dedicated Interconnect and use Transfer Appliance in online mode to stream data continuously into Cloud Storage.
Use gsutil -m to copy all data over the WAN during off-hours, repeating the copy each night until the migration is complete.

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Answer Description

A 1 Gbps link with only 500 Mbps of spare capacity can move roughly 5 TB per day-far short of the 650 TB that must arrive in 20 days-so relying on an online-only transfer (whether Storage Transfer Service agents or gsutil) will miss the deadline. Provisioning a new Dedicated Interconnect might provide the needed bandwidth, but ordering, installing, and testing a 10-Gbps circuit typically exceeds the three-week window, and Transfer Appliance cannot be used for continuous streaming. The recommended pattern for very large initial datasets when network capacity is limited is to ship a Transfer Appliance to Google for rapid offline ingest, then use Storage Transfer Service agents to run scheduled incremental jobs that copy the daily 400 GB delta over the existing link until the final synchronization. This hybrid approach satisfies both the 20-day bulk-load requirement and the ongoing daily updates without impacting production traffic.

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