How is the success of a processing job typically measured in Relativity?

The success of a processing job in Relativity is primarily measured by its completion status and the job logs for errors. This approach allows developers and users to confirm that the job has completed as expected, indicating that the processing pipeline ran without critical failures. Analyzing job logs can reveal any issues that occurred during the processing, such as errors related to file handling or data extraction. By focusing on these aspects, users can ensure not only that the job completed but also that the quality of the output meets predetermined criteria, making it a comprehensive measure of success.

Other options, while relevant to certain aspects of processing, do not provide the same level of definitive insight into job effectiveness. For instance, variety in file types may be indicative of the flexibility of the processing engine, but it does not reflect the success or quality of the output. Similarly, the time taken to complete a job might suggest efficiency but does not guarantee correctness or completeness in the results. User feedback, while important, is subjective and can vary widely; it does not provide the objective metrics that completion status and error logs do.