You configure a Storage Transfer Service job to run daily at 2 AM UTC. The source is an AWS S3 bucket, and the destination is a Google Cloud Storage bucket. What happens if the job fails at 2 AM due to network issues?
Think about how scheduled jobs typically behave when they fail at their scheduled time.
Storage Transfer Service jobs scheduled for a specific time run once at that time. If the job fails, it does not retry automatically on the same day. It waits until the next scheduled run.
You want to ensure that files transferred from an AWS S3 bucket to a Google Cloud Storage bucket using Storage Transfer Service are not corrupted during transfer. Which transfer option should you enable?
Data integrity means making sure the file is exactly the same after transfer.
Enabling 'Verify checksum' makes Storage Transfer Service compare checksums of source and destination files to ensure data integrity.
You need to design a backup solution that transfers data daily from an on-premises NAS to Google Cloud Storage using Storage Transfer Service. The NAS supports SMB protocol only. Which architecture component is required to enable this transfer?
Storage Transfer Service supports certain sources natively. Think about how to get SMB data into a supported source.
Storage Transfer Service does not support SMB shares directly. You must install the Storage Transfer Service agent on a host machine that has read access to the SMB share.
You want to restrict Storage Transfer Service so it can only access a specific Google Cloud Storage bucket and no other resources in your project. Which IAM role and permission setup is the most secure and appropriate?
Least privilege principle means giving only the permissions needed.
Granting Storage Object Admin on the specific bucket limits access to only that bucket, following least privilege best practice.
You have a 50 TB dataset in an AWS S3 bucket that you need to transfer to Google Cloud Storage as quickly and cost-effectively as possible using Storage Transfer Service. Which approach follows best practices?
Think about how parallelism and workload division affect transfer speed and reliability.
Splitting large datasets into smaller parts and running parallel transfer jobs improves throughput and reduces transfer time, following best practices.