Checking the Spark UI and logs for error messages and stack traces is a systematic approach to diagnosing and resolving failed Spark jobs. This method involves analyzing the detailed logs to identify specific errors or issues, such as configuration problems, data input errors, or resource allocation issues. By thoroughly investigating these areas, the root cause of the failure can be identified and addressed, leading to a successful job execution.