Exam AWS Certified Data Engineer - Associate DEA-C01 topic 1 question 66 discussion

Exam question from Amazon's AWS Certified Data Engineer - Associate DEA-C01

Question #: 66
Topic #: 1

[All AWS Certified Data Engineer - Associate DEA-C01 Questions]

A financial company wants to use Amazon Athena to run on-demand SQL queries on a petabyte-scale dataset to support a business intelligence (BI) application. An AWS Glue job that runs during non-business hours updates the dataset once every day. The BI application has a standard data refresh frequency of 1 hour to comply with company policies.
A data engineer wants to cost optimize the company's use of Amazon Athena without adding any additional infrastructure costs.
Which solution will meet these requirements with the LEAST operational overhead?

A. Configure an Amazon S3 Lifecycle policy to move data to the S3 Glacier Deep Archive storage class after 1 day.
B. Use the query result reuse feature of Amazon Athena for the SQL queries.
C. Add an Amazon ElastiCache cluster between the BI application and Athena.
D. Change the format of the files that are in the dataset to Apache Parquet.

Show Suggested Answer

Suggested Answer: B 🗳️

by rralucard_ at Feb. 2, 2024, 1:31 p.m.

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rralucard_

Highly Voted 1 year, 4 months ago

Selected Answer: B

https://docs.aws.amazon.com/athena/latest/ug/performance-tuning.html Use the Query Result Reuse Feature of Amazon Athena. This leverages Athena's built-in feature to reduce redundant data scans and thus lowers query costs.

upvoted 6 times

DevoteamAnalytix

1 year, 1 month ago

Yes, seems to be B: https://aws.amazon.com/de/blogs/big-data/reduce-cost-and-improve-query-performance-with-amazon-athena-query-result-reuse/

upvoted 1 times

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Ell89

Most Recent 3 months, 4 weeks ago

Selected Answer: D

D query result reuse will benefit the same queries that are being re-run, it wont benefit new queries. parquet will benefit all queries.

upvoted 1 times

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rsmf

8 months ago

Selected Answer: B

Why not D? The question specifies the option with the least overhead, and it clearly states that the Glue job runs once a day. Since the data for that day will not change, there’s no need for additional overhead.

upvoted 1 times

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