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AWS Certified Data Engineer Associate DEA-C01 Practice Question

A company lands compressed CSV files in an S3 bucket. A data engineer needs a serverless workflow that automatically performs these steps:

  1. Run an AWS Glue crawler to update the table schema.
  2. Trigger an AWS Glue ETL job to convert the data to Parquet.
  3. Execute a COPY command to load the Parquet files into Amazon Redshift.
    The solution must provide built-in retry with exponential backoff, allow parameters to pass between steps, and retain a detailed execution history for auditing. Which service should the engineer use to orchestrate this workflow?

  • Write a series of AWS Lambda functions that call one another via SNS topics, implementing custom retry logic and logging.

  • Build an AWS Glue Workflow that chains the crawler and ETL job, then calls the Redshift COPY command as a final action.

  • Create an AWS Step Functions state machine that invokes the crawler, ETL job, and a Lambda function that issues the Redshift COPY command.

  • Configure an Amazon EventBridge rule to sequentially trigger the crawler, ETL job, and Redshift COPY operation by specifying targets in order.

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