AWS Certified Data Engineer Associate DEA-C01 Practice Question

A company ingests about 5 TB of semi-structured application logs into Amazon S3 each day, stored in compressed Parquet files. Data analysts need to run interactive ad-hoc SQL queries from BI tools with response times of seconds. The operations team wants to avoid provisioning or managing clusters and prefers a pay-per-query pricing model that automatically scales for bursts of concurrent users. Which AWS storage platform best meets these requirements?

  • Use Amazon Athena to query the Parquet data directly in Amazon S3.

  • Store each day's logs in a DynamoDB table and analyze them with PartiQL.

  • Load the data into an Amazon Redshift RA3 cluster and query it with Redshift Spectrum.

  • Import the data into an Amazon Aurora MySQL cluster and use federated queries on Parquet files.

AWS Certified Data Engineer Associate DEA-C01
Data Store Management
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