DEA-C01 Exam Dumps | A data engineer is optimizing query performance in Amazon Athena notebooks that use Apache Spark to analyze

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Question 32/153

A data engineer is optimizing query performance in Amazon Athena notebooks that use Apache Spark to analyze large datasets that are stored in Amazon S3. The data is partitioned.
An AWS Glue crawler updates the partitions.
The data engineer wants to minimize the amount of data that is scanned to improve efficiency of Athena queries.
Which solution will meet these requirements?

A. Apply partition filters in the queries.

B. Increase the frequency of AWS Glue crawler invocations to update the data catalog more often.

C. Organize the data that is in Amazon S3 by using a nested directory structure.

D. Configure Spark to use in-memory caching for frequently accessed data.

Correct Answer: A

By including predicates on your partition columns in each Athena query (for example, WHERE year = '2025' AND month = '05'), Athena prunes partitions at the optimizer level and reads only the matching S3 folders. This directly minimizes the data scanned and improves query efficiency with no additional infrastructure changes.

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