A video-sharing company stores its videos in Amazon S3. The company has observed a sudden increase in video access requests, but the company does not know which videos are most popular. The company needs to identify the general access pattern for the video files. This pattern includes the number of users who access a certain file on a given day, as well as the number of pull requests for certain files. How can the company meet these requirements with the LEAST amount of effort?
Select one answer.
Marked answer: B
Community Discussion
Written by other learners. Comments can disagree with the marked answer — check the official documentation when in doubt.
4
Bis the Answer because Athena is designed for these type of use cases AWS Athena is a serverless interactive query service that lets you analyze data stored in Amazon Simple Storage Service (S3) using standard SQL.
2
B is correct:Use S3 in combination with Athena is the recommended way to analyze data A: setups of Aurora is complex and unnecessary. It also more costly than B C and D are both too complicated.
Chose B4
B is so much simpler. Athena can do interactive queries on S3 data.
