Exam AWS Certified Solutions Architect - Associate SAA-C03 topic 1 question 784 discussion

data preparation = Glue DataBrew https://docs.aws.amazon.com/databrew/latest/dg/what-is.html state handling = DataBrew with Step Functions https://docs.aws.amazon.com/step-functions/latest/dg/connect-databrew.html

Option C

Both c and d are workable, but AWS Data Pipeline is considered outdated because AWS has introduced newer, more efficient, and serverless alternatives for data orchestration and ETL (Extract, Transform, Load) tasks. While AWS Data Pipeline is still available, it is not actively promoted or updated by AWS, and many companies have shifted to AWS Glue, Step Functions, and EventBridge for data workflow automation. https://aws.amazon.com/blogs/big-data/build-event-driven-data-quality-pipelines-with-aws-glue-databrew/

A - Lambda function alone is incompetent for retries or running in a specific order. B - Athena cannot automatically handle errors or running in a specific order. C - YES and fully managed. See below. D - Data Pipeline with retries and error handling is A LOT OF WORK. Takeaway: 1. Glue DataBrew simplifies the data preparation process with a visual interface, and it integrates with S3 for input/output. 2. Step Functions efficiently manages parallel and sequential workflows while minimizing operational overhead for state management, error handling, and retries.

AnswerC With Step Functions' built-in controls, you can examine the state of each step in your workflow to make sure that your application runs in order and as expected. https://docs.aws.amazon.com/step-functions/latest/dg/welcome.html AWS Glue is a serverless data integration service that makes it easy for analytics users to discover, prepare, move, and integrate data from multiple sources. https://docs.aws.amazon.com/glue/latest/dg/what-is-glue.html

c looks correct