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

Author: dem108

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

@@ -445,7 +445,7 @@ To run the `score.py` provided as part of the deployment, Azure creates a contai
     - A failure in the `init()` method.
 - If `get-logs` isn't producing any logs, it usually means that the container has failed to start. To debug this issue, try [deploying locally](#deploy-locally) instead.
 - Readiness or liveness probes aren't set up correctly.
-- Container initialization is taking too long so that readiness or liveness probe fails beyond failure threshold. In this case, adjust [probe settings](reference-yaml-deployment-managed-online#probesettings) to allow longer time to initialize the container, or try a bigger VM SKU among [supported VM SKUs](reference-managed-online-endpoints-vm-sku-list) which will accelerate the initialization.
+- Container initialization is taking too long so that readiness or liveness probe fails beyond failure threshold. In this case, adjust [probe settings](reference-yaml-deployment-managed-online.md#probesettings) to allow longer time to initialize the container, or try a bigger VM SKU among [supported VM SKUs](reference-managed-online-endpoints-vm-sku-list.md) which will accelerate the initialization.
 - There's an error in the environment set up of the container, such as a missing dependency.
 - When you face `TypeError: register() takes 3 positional arguments but 4 were given` error, the error may be caused by the dependency between flask v2 and `azureml-inference-server-http`. See [FAQs for inference HTTP server](how-to-inference-server-http.md#1-i-encountered-the-following-error-during-server-startup) for more details.