A medical record filing system for a government medical fund archives patient-related records in an Amazon S3 bucket. Ea

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A medical record filing system for a government medical fund archives patient-related records in an Amazon S3 bucket. Each time a patient visits a physician, a new file is created, which may total millions of files each month. Each physician's files are collected through a batch procedure that runs every night using AWS Data Pipeline. Because this is sensitive material, it must be encrypted at rest, along with any related information.

Auditor check certain files on a quarterly basis to ensure they are being kept in accordance with rules. Auditors must be able to identify any physical file stored in the S3 bucket that corresponds to a certain date, patient, or physician. Auditors spend considerable effort locating such files.

Which collecting technique is the most cost-effective and time-efficient in given situation?

A. Use Amazon Kinesis to get the data feeds directly from physicians, batch them using a Spark application on Amazon Elastic MapReduce (EMR), and then store them in Amazon S3 with folders separated per physician.
B. Use Amazon API Gateway to get the data feeds directly from physicians, batch them using a Spark application on Amazon Elastic MapReduce (EMR), and then store them in Amazon S3 with folders separated per physician.
C. Use Amazon S3 event notification to populate an Amazon DynamoDB table with metadata about every file loaded to Amazon S3, and partition them based on the month and year of the file.
D. Use Amazon S3 event notification to populate an Amazon Redshift table with metadata about every file loaded to Amazon S3, and partition them based on the month and year of the file.