Update articles/machine-learning/how-to-troubleshoot-online-endpoints.md

Author: dem108

articles/machine-learning/how-to-troubleshoot-online-endpoints.md

@@ -667,7 +667,7 @@ These are common error codes when consuming managed online endpoints with REST r
 | 401         | Unauthorized              | You don't have permission to do the requested action, such as score, or your token is expired.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                       |
 | 404         | Not found                 | The endpoint doesn't have any valid deployment with positive weight.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                 |
 | 408         | Request timeout           | The model execution took longer than the timeout supplied in `request_timeout_ms` under `request_settings` of your model deployment config.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                          |
-| 424         | Model Error               | If your model container returns a non-200 response, Azure returns a 424. Check the `Model Status Code` dimension under the `Requests Per Minute` metric on your endpoint's [Azure Monitor Metric Explorer](../azure-monitor/essentials/metrics-getting-started.md). Or check response headers `ms-azureml-model-error-statuscode` and `ms-azureml-model-error-reason` for more information. If 424 comes with liveness or readiness probe failing, consider adjusting [probe settings](reference-yaml-deployment-managed-online#probesettings) to allow longer time to probe liveness or readiness of the container. |
+| 424         | Model Error               | If your model container returns a non-200 response, Azure returns a 424. Check the `Model Status Code` dimension under the `Requests Per Minute` metric on your endpoint's [Azure Monitor Metric Explorer](../azure-monitor/essentials/metrics-getting-started.md). Or check response headers `ms-azureml-model-error-statuscode` and `ms-azureml-model-error-reason` for more information. If 424 comes with liveness or readiness probe failing, consider adjusting [probe settings](reference-yaml-deployment-managed-online.md#probesettings) to allow longer time to probe liveness or readiness of the container. |
 | 429         | Too many pending requests | Your model is getting more requests than it can handle. Azure Machine Learning allows maximum 2 * `max_concurrent_requests_per_instance` * `instance_count` requests in parallel at any time and rejects extra requests. You can confirm these settings in your model deployment config under `request_settings` and `scale_settings`, respectively. If you're using auto-scaling, this error means that your model is getting requests faster than the system can scale up. With auto-scaling, you can try to resend requests with [exponential backoff](https://en.wikipedia.org/wiki/Exponential_backoff). Doing so can give the system time to adjust. Apart from enabling auto-scaling, you could also increase the number of instances by using the [code to calculate instance count](#how-to-calculate-instance-count). |
 | 429         | Rate-limiting             | The number of requests per second reached the [limit](./how-to-manage-quotas.md#azure-machine-learning-managed-online-endpoints) of managed online endpoints.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                        |
 | 500         | Internal server error     | Azure Machine Learning-provisioned infrastructure is failing.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                      |