Answer-first summary for fast verification
Answer: Use gsutil for the migration; Pub/Sub and Dataflow for real-time updates
The gsutil tool is ideal for small- to medium-sized transfers (less than 1 TB) over a typical enterprise-scale network, from a private data center to Google Cloud. It's recommended when there's sufficient bandwidth to meet your project deadline for less than 1 TB of data. Storage Transfer Service is better suited for much larger volumes during migration. Cloud Data Fusion and Dataproc are not optimal for real-time updates. Additionally, BigQuery Data Transfer Service does not support all on-prem sources. For more details, visit: [Google Cloud Documentation](https://cloud.google.com/architecture/migration-to-google-cloud-transferring-your-large-datasets#gsutil_for_smaller_transfers_of_on-premises_data).
Author: LeetQuiz Editorial Team
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What tools would you recommend for migrating a data warehouse to Google Cloud, ensuring real-time updates from transactional systems, given that the files are not large in number but each is 90 GB in size?
A
Use Storage Transfer Service for the migration; Pub/Sub and Cloud Data Fusion for real-time updates
B
Use gsutil for both the migration and real-time updates
C
Use BigQuery Data Transfer Service for the migration; Pub/Sub and Dataproc for real-time updates
D
Use gsutil for the migration; Pub/Sub and Dataflow for real-time updates
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