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Answer: Enable S3 Transfer Acceleration and use multipart uploads for direct data upload to the S3 bucket.
Option A is the correct answer. Enabling S3 Transfer Acceleration on the destination S3 bucket and using multipart uploads optimizes data transfer speeds by taking advantage of Amazon CloudFront's globally distributed edge locations. This approach minimizes latency and maximizes throughput, which is critical for aggregating large volumes of data (500 GB daily) from multiple global sites. Additionally, this method simplifies operations since it avoids the complexities associated with cross-region replication (Option B and C) or managing snapshots and restores (Option D).
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A company with global sites collects 500 GB of data daily on temperature, humidity, and atmospheric pressure. The company requires a solution to aggregate this data into a single Amazon S3 bucket quickly and with minimal operational complexity.
A
Enable S3 Transfer Acceleration and use multipart uploads for direct data upload to the S3 bucket.
B
First upload data to a local S3 bucket, then replicate to the destination using S3 Cross-Region Replication, and delete from the origin.
C
Use AWS Snowball Edge for daily data transfers to a local Region, then replicate to the destination S3 bucket.
D
Upload data to an EC2 instance's EBS volume in the local Region, snapshot periodically, copy snapshots to the destination Region, and restore there.