A company uses Amazon S3 to store semi-structured data in a transactional data lake. Some of the data files are small, but other data files are tens of terabytes. A data engineer must perform a change data capture (CDC) operation to identify changed data from the data source. The data source sends a full snapshot as a JSON file every day and ingests the changed data into the data lake. Which solution will capture the changed data MOST cost-effectively?
Select one answer.
Marked answer: A
Community Discussion
Written by other learners. Comments can disagree with the marked answer — check the official documentation when in doubt.
Chose A1
Generally, AWS questions never give preference to the others solution than an AWS service so even if C could be better the answer is A
1
I agree with the fact that aws would prefer you to choose their solution, but if lambda is too expensive why not in that case choose D?
3
But some files are tens of terabytes, and Lamda has a time windows of 15 minutes, that could not be enougth time to process big data
