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Amazon Exam Amazon-DEA-C01 Topic 3 Question 3 Discussion

Actual exam question for Amazon's Amazon-DEA-C01 exam
Question #: 3
Topic #: 3
[All Amazon-DEA-C01 Questions]

A data engineer uses Amazon Managed Workflows for Apache Airflow (Amazon MWAA) to run data pipelines in an AWS account. A workflow recently failed to run. The data engineer needs to use Apache Airflow logs to diagnose the failure of the workflow. Which log type should the data engineer use to diagnose the cause of the failure?

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Suggested Answer: D

In Amazon Managed Workflows for Apache Airflow (MWAA), the type of log that is most useful for diagnosing workflow (DAG) failures is the Task logs. These logs provide detailed information on the execution of each task within the DAG, including error messages, exceptions, and other critical details necessary for diagnosing failures.

Option D: YourEnvironmentName-Task Task logs capture the output from the execution of each task within a workflow (DAG), which is crucial for understanding what went wrong when a DAG fails. These logs contain detailed execution information, including errors and stack traces, making them the best source for debugging.

Other options (WebServer, Scheduler, and DAGProcessing logs) provide general environment-level logs or logs related to scheduling and DAG parsing, but they do not provide the granular task-level execution details needed for diagnosing workflow failures.


Amazon MWAA Logging and Monitoring

Apache Airflow Task Logs

Contribute your Thoughts:

Latanya
2 months ago
Hmm, this is a tough one. I guess I'll go with B) YourEnvironmentName-Scheduler. Gotta love those Airflow logs, they're always a party!
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Twila
1 months ago
I agree, let's check the scheduler logs to see where the workflow failed.
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Lakeesha
1 months ago
Hopefully the scheduler logs will give us some clues on why the workflow failed.
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Catalina
2 months ago
I think B) YourEnvironmentName-Scheduler is the right choice. Those logs should help us figure out what went wrong.
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Ruthann
2 months ago
I'm going with C) YourEnvironmentName-DAGProcessing. It's important to understand how the overall data pipeline was executed, not just the individual tasks.
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Colene
1 months ago
I believe D) YourEnvironmentName-Task could provide insights into the specific tasks that failed in the workflow.
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Valda
2 months ago
I agree with you, C) YourEnvironmentName-DAGProcessing is crucial to understand the overall execution of the data pipeline.
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Shawn
2 months ago
I would go with B) YourEnvironmentName-Scheduler to check the scheduling of the workflow.
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Mabelle
2 months ago
I think A) YourEnvironmentName-WebServer might have some clues on what went wrong.
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Luke
3 months ago
D) YourEnvironmentName-Task seems like the best choice to me. If the workflow failed, the task logs should contain the most detailed information about the root cause.
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Lucy
3 months ago
I think the answer is B) YourEnvironmentName-Scheduler. This log type should provide the most relevant information about the failure, as the scheduler is responsible for triggering and coordinating the workflow.
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Sophia
1 months ago
Let's start by looking at the Scheduler log and then move on to the other logs if needed.
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Alyce
1 months ago
I believe the Task log might also have valuable information about the specific task that failed.
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Oretha
2 months ago
I think we should also check the DAGProcessing log to see if there were any issues there.
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Julene
2 months ago
I agree, the scheduler log should give us insights into what went wrong.
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Yvonne
3 months ago
I agree with Matt. The DAGProcessing log type is specifically for diagnosing issues related to the workflow execution.
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Matt
3 months ago
I think the data engineer should use option C) YourEnvironmentName-DAGProcessing to diagnose the failure.
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