Prefix should be a correct answer:
For example, your application can achieve at least 3,500 PUT/COPY/POST/DELETE or 5,500 GET/HEAD requests per second per partitioned prefix. There are no limits to the number of prefixes in a bucket. You can increase your read or write performance by using parallelization. For example, if you create 10 prefixes in an Amazon S3 bucket to parallelize reads, you could scale your read performance to 55,000 read requests per second
https://docs.aws.amazon.com/AmazonS3/latest/userguide/optimizing-performance.html
According to Amazon S3 documentation, your application can achieve at least 3,500 PUT/COPY/POST/DELETE or 5,500 GET/HEAD requests per second per partitioned prefix. There are no limits to the number of prefixes in a bucket. You can increase your read or write performance by using parallelization1.
Based on this information, the correct answer would be C. Store the objects by using object key names distributed across multiple prefixes
i chose A because of the phrase: request rate which denotes that some items are more frequently accessed than others. https://aws.amazon.com/about-aws/whats-new/2018/11/s3-intelligent-tiering/
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