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DEA-C01 · Question #244

DEA-C01 Question #244: Real Exam Question with Answer & Explanation

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Data Store Management

Question

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?

Options

  • AApply partition filters in the queries.
  • BIncrease the frequency of AWS Glue crawler invocations to update the data catalog more often.
  • COrganize the data that is in Amazon S3 by using a nested directory structure.
  • DConfigure Spark to use in-memory caching for frequently accessed data.

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Topics

#Athena Query Optimization#Data Partitioning#S3 Data Lakes#Apache Spark
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