A company is designing an application where users upload small files into Amazon S3. After a user uploads a file, the file requires one-time simple processing to transform the data and save the data in JSON format for later analysis. Each file must be processed as quickly as possible after it is uploaded. Demand will vary. On some days, users will upload a high number of files. On other days, users will upload a few files or no files. Which solution meets these requirements with the LEAST operational overhead?
Select one answer.
Marked answer: C
Community Discussion
Written by other learners. Comments can disagree with the marked answer — check the official documentation when in doubt.
Chose C1
C is the simplest and most widely used architecture, for example, processing photos to generate thumbnails.
Chose C1
C is most suitable here as we need DynamoDB for low latency, AWS Lambda for scaling as per the demand.
Chose C2
Ans C - as per cookieMr (1 yr, 2 mth ago) "...In summary, option C is the recommended solution as it provides a serverless and scalable approach for processing uploaded files using S3 event notifications, SQS, and Lambda. It offers low operational overhead, automatic scaling, and efficient handling of varying demand. Storing the resulting JSON file in DynamoDB aligns with the requirement of saving the data for later analysis."
