Answer - D.
Latest Update: Based on the New S3 announcement (S3 performance) Amazon S3 now provides increased request rate performance.
It removes any previous guidance to randomize object prefixes to achieve faster performance.
That means you can now use logical or sequential naming patterns in S3 object naming without any performance implications.
https://aws.amazon.com/about-aws/whats-new/2018/07/amazon-s3-announces-increased-request-rate-performance/
When using Amazon Simple Storage Service (S3) to host objects, defining the keys correctly is essential for optimal performance when requests are made to get the objects from the bucket.
The key of an object in Amazon S3 is the unique identifier for the object within the bucket. A key is composed of a prefix, a delimiter, and an object name. The prefix and delimiter are optional, but they can help you organize and search for objects more efficiently.
Option A: demoawsbucket/Image1.jpg This key has no prefix or delimiter, which means that all objects are located in the root of the bucket. This can make it difficult to organize and search for objects, especially if there are a large number of objects in the bucket.
Option B: demoawsbucket/Images/2019-14-03-15-00-00Image1.jpg This key includes a prefix (Images/) and an object name (2019-14-03-15-00-00Image1.jpg). Using a prefix can help organize and categorize objects in the bucket, which can improve searchability and performance.
Option C: demoawsbucket/2019-14-03-15-00-00/Image1.jpg This key includes both a prefix (2019-14-03-15-00-00/) and an object name (Image1.jpg). This is similar to Option B, but the prefix is more specific, which can help improve searchability and performance even further.
Option D: All the options have the same performance. This is incorrect because the performance can vary depending on how the keys are defined.
In conclusion, Option C (demoawsbucket/2019-14-03-15-00-00/Image1.jpg) is the best option for defining keys for optimal performance when requests are made to get the objects from the bucket. However, the best approach may vary depending on the specific use case and the number of objects in the bucket.
