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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.
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Suggested Answer: B 🗳️
by rralucard_ at Feb. 2, 2024, 1:31 p.m.
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rralucard_
Highly Voted 1 year, 3 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
12 months 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 2 months, 1 week 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
6 months, 1 week 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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MinTheRanger
9 months ago
D. Because "query reuse feature" is reliable only when it's identical but here hourly refresh might be on data related to that hour.
upvoted 1 times
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MinTheRanger
9 months ago
Why not D?
upvoted 3 times
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Ousseyni
1 year ago
Selected Answer: B
B. Use the query result reuse feature of Amazon Athena for the SQL queries.
upvoted 2 times
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FuriouZ
1 year, 1 month ago
Selected Answer: B
It's B: Glacier adds more retrieval time and the other options cost some money
upvoted 1 times
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