Crucial Exams

AWS Certified Data Engineer Associate DEA-C01 Practice Question

A data engineering team processes log files stored in Amazon S3. Nightly AWS Glue ETL jobs write curated data back to S3, while analysts run ad-hoc queries with Amazon Athena and Apache Spark on Amazon EMR. Maintaining separate metastores for each service has resulted in schema drift and extra administration. The team needs a single, serverless data catalog that all three services can reference directly, with the least operational overhead. Which approach satisfies these requirements?

  • Use the AWS Glue Data Catalog as the unified metastore and configure both Athena and EMR to reference it.

  • Create external schemas in Amazon Redshift and have Athena and EMR issue federated queries against them.

  • Run an Apache Hive metastore on the EMR primary node and connect Athena to it with AWS Glue connectors.

  • Store table metadata in an Amazon DynamoDB table and update Athena and EMR Spark jobs to read from it using custom code.

AWS Certified Data Engineer Associate DEA-C01
Data Store Management
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