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Answer: gsutil for the migration; Pub/Sub and Dataflow for the real-time updates
The correct answer is C: gsutil for the migration; Pub/Sub and Dataflow for the real-time updates. gsutil is suitable for transferring large files efficiently, especially when the total data size is less than 1 TB and there's sufficient bandwidth. For real-time data integration, Pub/Sub and Dataflow are robust solutions that handle real-time messaging and stream processing, ensuring continuous updates to the data warehouse on Google Cloud. Storage Transfer Service and BigQuery Data Transfer Service are more suited for different use cases, and gsutil alone cannot handle real-time updates.
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As part of your company's IT modernization efforts, you are transitioning your data warehouse from an on-premises data center to Google Cloud and subsequently decommissioning the physical infrastructure. Given the high priority of this task, adequate bandwidth has been allocated specifically for the initial bulk data transfer. The files earmarked for migration are relatively few but substantial in size, with each file being 90 GB. Furthermore, there's a need for your transactional systems to persistently update the Google Cloud warehouse in real time post-migration. What tools should be utilized to facilitate the data migration and to ensure continuous real-time data updates to the Google Cloud warehouse?
A
Storage Transfer Service for the migration; Pub/Sub and Cloud Data Fusion for the real-time updates
B
BigQuery Data Transfer Service for the migration; Pub/Sub and Dataproc for the real-time updates
C
gsutil for the migration; Pub/Sub and Dataflow for the real-time updates
D
gsutil for both the migration and the real-time updates
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