A data engineering team needs to run daily ETL (Extract, Transform, Load) jobs to process logs stored in Amazon S3 and load the transformed data into Amazon Redshift. They want a fully managed, serverless Apache Spark environment. Which service should they use?

Answer options:

Amazon EMR

AWS Glue

AWS Data Pipeline

Amazon Kinesis Data Analytics

How to approach this question

Keywords: 'serverless', 'ETL', 'Apache Spark'. AWS Glue is the exact match.

Full Answer

B.AWS Glue✓ Correct

AWS Glue is a fully managed, serverless extract, transform, and load (ETL) service. It automatically provisions the Apache Spark environment needed to execute your ETL jobs, meaning you don't have to manage any infrastructure.

Common mistakes

Choosing EMR, which traditionally requires cluster management.

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