If any job fails, how would you check the error?

When a job fails, I first look at the job’s logs to identify the point of failure. In a cloud environment like AWS, I would check CloudWatch Logs for the specific log stream associated with the job. I also review any error messages or stack traces that are logged. If the job writes to a database or a status table, I would query that table for error codes or timestamps. I then cross‑reference the failure with any alerts that were triggered—checking the alert’s context to see if it’s a transient issue or a systemic problem. If the job uses a retry mechanism, I verify that the retry logic is functioning and that the job isn’t stuck in a retry loop. Finally, I document the root cause and the steps taken to resolve it, and I update any monitoring dashboards or incident records so future failures can be detected faster. This systematic approach ensures I capture all relevant data and can pinpoint the exact failure point.