AWS Certified Data Engineer Associate DEA-C01 Practice Question

An analytics team must orchestrate a nightly pipeline: wait for an S3 file, run an AWS Glue job, load data into Amazon Redshift, then send an alert on failure. They want to define the workflow in Python, configure per-task retries, and monitor executions in a managed web UI. Which AWS solution best satisfies these needs?

  • Use AWS Data Pipeline to schedule the Glue job, Redshift COPY operation, and SNS activity with retry logic.

  • Build the workflow in AWS Step Functions with Lambda functions for each step and an SNS publish on failure.

  • Create a DAG in Amazon MWAA that uses an S3KeySensor, GlueJobOperator, RedshiftDataOperator, and an SNS notification task.

  • Set up an Amazon EventBridge cron rule that triggers an AWS Glue Workflow chaining the Glue job, Redshift COPY command, and SNS topic.

AWS Certified Data Engineer Associate DEA-C01
Data Ingestion and Transformation
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