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AWS Certified Data Engineer - Associate · AWS
Select 2 answers.
This question asks for 2 answers, but our data marks only 1. Compare with the community discussion below for the full answer.
Written by other learners. Comments can disagree with the marked answer — check the official documentation when in doubt.
C - Reduces latency and network costs → When Athena queries S3 data in the same AWS Region, data does not cross AWS Regions, improving performance. Lower query execution time → No inter-region data transfer delays. Cost-Effective → AWS charges for cross-region data transfers, but querying within the same region avoids these costs. E - Parquet is a columnar storage format → Queries can fetch only needed columns, reducing scanning costs.
I will go with C and E.
C is not mentioned anywhere in the https://docs.aws.amazon.com/athena/latest/ug/performance-tuning.html