Which web service processes and moves data at scheduled intervals?

• A. AWS Glue
• B. Amazon Athena
• C. AWS Data Pipeline
• D. Amazon EMR

Answer: (C)

Scheduling recurring data workflows and moving data between stores is exactly what AWS Data Pipeline is built to do. It lets you define a pipeline that specifies where data comes from, what transformations or processing steps to apply, and where to put the results, all tied to a defined schedule. You can orchestrate tasks across services—copying data from S3 to Redshift, DynamoDB, or RDS, running processing on EC2 or EMR, and applying transformations in a controlled sequence. The pipeline handles timing, dependencies, retries, and alerts, so the whole data workflow runs automatically at the intervals you specify.

Other services shown have different primary strengths. A serverless ETL service like AWS Glue focuses on transforming data via ETL jobs and can be triggered on a schedule, but its core role is ETL rather than orchestrating end-to-end data movement across multiple stores. Amazon Athena is a serverless query service for analyzing data, not a workflow or data-movement orchestrator. Amazon EMR is a managed Hadoop/Spark environment for big data processing, which can be part of a workflow but isn’t, by itself, the service that schedules and coordinates recurring data movement in the way Data Pipeline does.