Which approach will meet these requirements?

A database specialist is building a system that uses a static vendor dataset of postal codes and related territory information that is less than 1 GB in size. The dataset is loaded into the application’s cache at start up. The company needs to store this data in a way that provides the lowest cost with a low application startup time.

Which approach will meet these requirements?
A . Use an Amazon RDS DB instance. Shut down the instance once the data has been read.
B . Use Amazon Aurora Serverless. Allow the service to spin resources up and down, as needed.
C . Use Amazon DynamoDB in on-demand capacity mode.
D . Use Amazon S3 and load the data from flat files.

Answer: D

Explanation:

https://www.sumologic.com/insight/s3-cost-optimization/

For example, for 1 GB file stored on S3 with 1 TB of storage provisioned, you are billed for 1 GB only. In a lot of other services such as Amazon EC2, Amazon Elastic Block Storage (Amazon EBS) and Amazon DynamoDB you pay for provisioned capacity. For example, in the case of Amazon EBS disk you pay for the size of 1 TB of disk even if you just save 1 GB file. This makes managing S3 cost easier than many other services including Amazon EBS and Amazon EC2. On S3 there is no risk of over-provisioning and no need to manage disk utilization.

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