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Exam AWS Certified Data Engineer - Associate DEA-C01 All Questions

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Exam AWS Certified Data Engineer - Associate DEA-C01 topic 1 question 11 discussion

Exam question from Amazon's AWS Certified Data Engineer - Associate DEA-C01
Question #: 11
Topic #: 1
[All AWS Certified Data Engineer - Associate DEA-C01 Questions]

A data engineer needs Amazon Athena queries to finish faster. The data engineer notices that all the files the Athena queries use are currently stored in uncompressed .csv format. The data engineer also notices that users perform most queries by selecting a specific column.
Which solution will MOST speed up the Athena query performance?

  • A. Change the data format from .csv to JSON format. Apply Snappy compression.
  • B. Compress the .csv files by using Snappy compression.
  • C. Change the data format from .csv to Apache Parquet. Apply Snappy compression.
  • D. Compress the .csv files by using gzip compression.
Show Suggested Answer Hide Answer
Suggested Answer: C 🗳️
by milofficial at Jan. 18, 2024, 9:47 a.m.
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milofficial
Highly Voted 1 year, 3 months ago
Selected Answer: C
If the exam would only have these kinds of questions everyone would be blessed
upvoted 11 times
[Removed]
1 year, 3 months ago
Hahahaha! I believe that this kind of question is only for the beta calibration purpose. They won't be in the final exam version.
upvoted 1 times
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TonyStark0122
Highly Voted 1 year, 2 months ago
C. Change the data format from .csv to Apache Parquet. Apply Snappy compression. Explanation: Apache Parquet is a columnar storage format optimized for analytical queries. It is highly efficient for query performance, especially when queries involve selecting specific columns, as it allows for column pruning and predicate pushdown optimizations.
upvoted 6 times
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Scotty_Nguyen
Most Recent 1 month ago
Selected Answer: C
C is correct
upvoted 1 times
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GabrielSGoncalves
9 months ago
Selected Answer: C
C is the way to do It based on best practices recommended by AWS (https://aws.amazon.com/pt/blogs/big-data/top-10-performance-tuning-tips-for-amazon-athena/)
upvoted 1 times
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hnk
11 months, 2 weeks ago
Selected Answer: C
C is correct
upvoted 1 times
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k350Secops
11 months, 3 weeks ago
Selected Answer: C
switching to Apache Parquet format with Snappy compression offers the most significant improvement in Athena query performance, especially for queries that select specific columns
upvoted 1 times
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d8945a1
11 months, 3 weeks ago
Selected Answer: C
Parquet is columnar storage and the question specifies that users performs most queries by selecting a specific column.
upvoted 1 times
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wa212
1 year ago
Selected Answer: C
https://aws.amazon.com/jp/blogs/news/top-10-performance-tuning-tips-for-amazon-athena/
upvoted 2 times
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Alcee
1 year, 2 months ago
C easy
upvoted 1 times
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