AWS Certified Data Engineer - Associate DEA-C01 — Topic 1 Question 299

Question

A data engineer is building a serverless. multi-step extract, transform, and load (ETL) pipeline. The pipeline extracts data from an Amazon S3 data lake and transforms the data by using AWS Glue ETL jobs. The pipeline then loads the results into an Amazon Redshift database. The data engineer needs to orchestrate the serverless ETL workflow. Which solutions will meet these requirements? (Choose two.)

Accepted Answer

Correct answer: A, B. The correct answer is A, B. Option A: Implement the workflow by using AWS Step Functions. Configure Step Functions to coordinate the AWS Glue ETL jobs and handle error conditions with automatic retries. Option B: Use AWS Glue workflows to create a graph of the ETL tasks that visually represents the dependencies between jobs and the job triggers. AWS Step Functions coordinates multi-step workflows as a managed state machine. AWS Glue is a serverless ETL and data-catalog service that prepares and integrates data. AWS Config tracks resource configuration changes and evaluates compliance.

AWS Certified Data Engineer - Associate DEA-C01 — Question 299