AWS Certified Data Engineer Associate DEA-C01 Practice Question
A data engineering team runs a nightly AWS Glue workflow that launches several jobs across three AWS accounts. The team must be alerted by both email and SMS only when any Glue job ends in a FAILED state. The solution should require minimal custom code and make it simple to add other notification protocols later. Which approach meets these requirements MOST efficiently?
Define CloudWatch alarms on Glue job duration metrics and configure AWS Chatbot to post alerts to a Chime room and email distribution list.
Configure job bookmarks to flag failures, then create an EventBridge rule that sends the events to an SQS queue processed by a Lambda function that emails alerts through Amazon SES.
Add failure-handling code inside each Glue job that calls the SNS Publish API to separate email and SMS topics.
Create a cross-account Amazon SNS topic in a central monitoring account. In each workload account, add an EventBridge rule that filters for Glue job events where the state equals FAILED and sets the SNS topic as the target. Subscribe the email and SMS endpoints to the topic.
Publishing a Glue job-failure event to a centralized Amazon SNS topic provides the simplest, most extensible solution. An Amazon EventBridge rule in each workload account can filter for the "Glue Job State Change" event where detail.state = "FAILED" and designate the cross-account SNS topic as its target. SNS natively fans out the alert to multiple protocols such as email and SMS, and adding more subscribers (for example HTTPS or AWS Chatbot) is a configuration change, not code.
The other options either embed notification logic inside every job, build and maintain custom Lambda/SES code, or rely on metrics that do not map directly to the required failure condition, so they are more operationally complex or less accurate.
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AWS Certified Data Engineer Associate DEA-C01
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