Exam AWS Certified Data Engineer - Associate DEA-C01 topic 1 question 236 discussion

Exam question from Amazon's AWS Certified Data Engineer - Associate DEA-C01

Question #: 236
Topic #: 1

[All AWS Certified Data Engineer - Associate DEA-C01 Questions]

A data engineer is building a data pipeline. A large data file is uploaded to an Amazon S3 bucket once each day at unpredictable times. An AWS Glue workflow uses hundreds of workers to process the file and load the data into Amazon Redshift. The company wants to process the file as quickly as possible.

Which solution will meet these requirements?

A. Create an on-demand AWS Glue trigger to start the workflow. Create an AWS Lambda function that runs every 15 minutes to check the S3 bucket for the daily file. Configure the function to start the AWS Glue workflow if the file is present.
B. Create an event-based AWS Glue trigger to start the workflow. Configure Amazon S3 to log events to AWS CloudTrail. Create a rule in Amazon EventBridge to forward PutObject events to the AWS Glue trigger.
C. Create a scheduled AWS Glue trigger to start the workflow. Create a cron job that runs the AWS Glue job every 15 minutes. Set up the AWS Glue job to check the S3 bucket for the daily file. Configure the job to stop if the file is not present.
D. Create an on-demand AWS Glue trigger to start the workflow. Create an AWS Database Migration Service (AWS DMS) migration task. Set the DMS source as the S3 bucket. Set the target endpoint as the AWS Glue workflow.

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Suggested Answer: B 🗳️

by rdiaz at July 4, 2025, 6:52 a.m.

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rdiaz

1 month, 2 weeks ago

Selected Answer: B

This solution uses event-driven architecture: it automatically triggers the AWS Glue workflow as soon as the file is uploaded to S3. • CloudTrail logs the PutObject event, and EventBridge detects that event and invokes the Glue trigger. • It is the fastest and most efficient way to start the workflow without polling or delay. • Also, it avoids unnecessary Glue invocations, which saves costs.

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