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Amazon Exam BDS-C00 Topic 12 Question 78 Discussion

Actual exam question for Amazon's BDS-C00 exam
Question #: 78
Topic #: 12
[All BDS-C00 Questions]

A medical record filing system for a government medical fund is using an Amazon S3 bucket to archive documents related to patients. Every patient visit to a physician creates a new file, which can add up to millions of files each month. Collection of these files from each physician is handled via a batch process that runs every night using AWS Data Pipeline. This is sensitive data, so the data and any associated metadata must be encrypted at rest.

Auditors review some files on a quarterly basis to see whether the records are maintained according to regulations. Auditors must be able to locate any physical file in the S3 bucket or a given data, patient, or physician. Auditors spend a signification amount of time locating such files.

What is the most cost-and time-efficient collection methodology in this situation?

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Suggested Answer: D

Contribute your Thoughts:

Reta
4 days ago
Partitioning the files in DynamoDB based on the month and year could be a good way to make it easier for auditors to locate specific files. I like that approach.
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Hildred
13 days ago
Using Kinesis to get the data feeds directly from the physicians sounds like a good idea, but I'm not sure if it's the most cost-effective.
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Josephine
14 days ago
Hmm, this seems like a tricky question. I'll have to think carefully about the cost and time efficiency of each option.
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Kenda
15 days ago
That's a good point, option C could indeed save time for auditors by organizing files based on month and year.
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Shaun
22 days ago
I disagree, I believe option C is more efficient as it uses Amazon S3 event notifications to populate a DynamoDB table with metadata.
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Kenda
27 days ago
I think option A is the best choice because it directly gets data feeds from physicians and stores them in folders per physician.
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