AWS Certified Data Engineer - Associate DEA-C01Demo

By Amazon · Question Mode

QuestionQ115

Data Ingestion and Transformation

A company is migrating its on-premises workloads to AWS. The company wants to lower overall operational overhead and explore serverless options.

The company’s current workloads use Apache Pig, Apache Oozie, Apache Spark, Apache Hbase, and Apache Flink. The on-premises workloads process petabytes of data in seconds. The company must preserve similar or better performance following the migration to AWS.

Which extract, transform, and load (ETL) service will satisfy these requirements?

  • A AWS Glue
  • B Amazon EMR
  • C AWS Lambda
  • D Amazon Redshift
Explanation

Amazon EMR supports the required Apache ecosystem, including Pig, Oozie, Spark, HBase, and Flink, and is intended to process vast amounts of data efficiently. Its serverless deployment option reduces operational overhead by automatically managing capacity for supported open-source analytics workloads, while EMR clusters can run the broader set of required frameworks.

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