How should the developer store the objects to meet this requirement?

Explanations:

S3 Intelligent-Tiering is a storage class designed for cost savings by automatically moving objects between two access tiers based on changing access patterns. While it optimizes cost, it does not directly address high request rates, which are affected by how objects are stored and accessed.

Storing all objects at the root of the S3 bucket would lead to potential performance bottlenecks, especially with high request rates. Amazon S3 automatically partitions data across multiple storage nodes, but relying on a single root level does not optimize access speed or concurrency.

Storing objects with key names distributed across multiple prefixes allows S3 to distribute requests across multiple partitions, thus increasing throughput and performance. This strategy directly addresses the need for high request rates by enabling better parallelism in accessing the objects.

Using object tags named “prefix” with unique values does not optimize the storage of objects for high request rates. Object tags are used for categorization and management rather than for optimizing how S3 manages data access patterns. High request rates depend on the distribution of object keys rather than tagging.