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Answer: Install Storage Transfer Service for on-premises data in your data center, and then configure a weekly transfer job.
The correct answer is C. The Storage Transfer Service for on-premises data is specifically designed for large-scale transfers like the one described (15 TB with weekly changes). It is suitable for POSIX-compliant sources and can handle transfers over the public internet with the given bandwidth. This service is installed in the on-premises data center and ensures a reliable and efficient data transfer to Google Cloud on a scheduled basis. Using other options like Cloud Scheduler with gsutil or a Google Cloud virtual machine would not be appropriate or as efficient for such a large scale and recurring data transfer.
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You have 15 TB of data stored in your on-premises data center, which adheres to POSIX standards, and this data undergoes weekly changes. Your goal is to transfer this data to Google Cloud on a weekly basis. The network operations team has allocated you a bandwidth of 500 Mbps for internet access. Considering Google-recommended best practices, how should you manage the transfer of your data to Google Cloud reliably each week?
A
Use Cloud Scheduler to trigger the gsutil command. Use the -m parameter for optimal parallelism.
B
Use Transfer Appliance to migrate your data into a Google Kubernetes Engine cluster, and then configure a weekly transfer job.
C
Install Storage Transfer Service for on-premises data in your data center, and then configure a weekly transfer job.
D
Install Storage Transfer Service for on-premises data on a Google Cloud virtual machine, and then configure a weekly transfer job.
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