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add clarify and link for endpoint auth
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articles/machine-learning/how-to-troubleshoot-online-endpoints.md

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@@ -786,7 +786,7 @@ The following table contains common error codes when consuming managed online en
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| Status code | Reason phrase | Why this code might get returned |
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| ----------- | ------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
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| 200 | OK | Your model executed successfully, within your latency bound. |
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| 401 | Unauthorized | You don't have permission to do the requested action, such as score, or your token is expired. |
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| 401 | Unauthorized | You don't have permission to do the requested action, such as score, or your token is expired or in the wrong format. For more information, see [endpoint authentication concept](concept-endpoints-online-auth.md) and [how to authenticate for endpoint](how-to-authenticate-online-endpoint.md). |
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| 404 | Not found | The endpoint doesn't have any valid deployment with positive weight. |
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| 408 | Request timeout | The model execution took longer than the timeout supplied in `request_timeout_ms` under `request_settings` of your model deployment config. |
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| 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. |

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