# How Amazon SageMaker AI Signals Algorithm Success and Failure
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A training algorithm indicates whether it succeeded or failed using the exit code of its process. 

A successful training execution should exit with an exit code of 0 and an unsuccessful training execution should exit with a non-zero exit code. These will be converted to `Completed` and `Failed` in the `TrainingJobStatus` returned by `DescribeTrainingJob`. This exit code convention is standard and is easily implemented in all languages. For example, in Python, you can use `sys.exit(1)` to signal a failure exit, and simply running to the end of the main routine will cause Python to exit with code 0.

In the case of failure, the algorithm can write a description of the failure to the failure file. See next section for details.