Merge pull request #109156 from TimShererWithAquent/us1679050be

Change SSL to TLS per 1679050

Author: PRMerger16

articles/machine-learning/how-to-deploy-and-where.md

@@ -533,9 +533,9 @@ The classes for local, Azure Container Instances, and AKS web services can be im
 from azureml.core.webservice import AciWebservice, AksWebservice, LocalWebservice
 ```
 
-### Securing deployments with SSL
+### Securing deployments with TLS
 
-For more information on how to secure a web service deployment, see [Use SSL to secure a web service](how-to-secure-web-service.md#enable).
+For more information on how to secure a web service deployment, see [Enable TLS and deploy](how-to-secure-web-service.md#enable).
 
 ### <a id="local"></a> Local deployment
 
@@ -1169,7 +1169,7 @@ def run(request):
 
 * [How to deploy a model using a custom Docker image](how-to-deploy-custom-docker-image.md)
 * [Deployment troubleshooting](how-to-troubleshoot-deployment.md)
-* [Secure Azure Machine Learning web services with SSL](how-to-secure-web-service.md)
+* [Use TLS to secure a web service through Azure Machine Learning](how-to-secure-web-service.md)
 * [Consume an Azure Machine Learning model deployed as a web service](how-to-consume-web-service.md)
 * [Monitor your Azure Machine Learning models with Application Insights](how-to-enable-app-insights.md)
 * [Collect data for models in production](how-to-enable-data-collection.md)

articles/machine-learning/how-to-deploy-azure-container-instance.md

@@ -89,7 +89,7 @@ See [deploy your models with VS Code](tutorial-train-deploy-image-classification
 
 * [How to deploy a model using a custom Docker image](how-to-deploy-custom-docker-image.md)
 * [Deployment troubleshooting](how-to-troubleshoot-deployment.md)
-* [Secure Azure Machine Learning web services with SSL](how-to-secure-web-service.md)
+* [Use TLS to secure a web service through Azure Machine Learning](how-to-secure-web-service.md)
 * [Consume a ML Model deployed as a web service](how-to-consume-web-service.md)
 * [Monitor your Azure Machine Learning models with Application Insights](how-to-enable-app-insights.md)
 * [Collect data for models in production](how-to-enable-data-collection.md)

articles/machine-learning/how-to-deploy-azure-kubernetes-service.md

@@ -126,7 +126,7 @@ If you set `cluster_purpose = AksCompute.ClusterPurpose.DEV_TEST`, then the clus
 > [!WARNING]
 > Do not create multiple, simultaneous attachments to the same AKS cluster from your workspace. For example, attaching one AKS cluster to a workspace using two different names. Each new attachment will break the previous existing attachment(s).
 >
-> If you want to re-attach an AKS cluster, for example to change SSL or other cluster configuration setting, you must first remove the existing attachment by using [AksCompute.detach()](https://docs.microsoft.com/python/api/azureml-core/azureml.core.compute.akscompute?view=azure-ml-py#detach--).
+> If you want to re-attach an AKS cluster, for example to change TLS or other cluster configuration setting, you must first remove the existing attachment by using [AksCompute.detach()](https://docs.microsoft.com/python/api/azureml-core/azureml.core.compute.akscompute?view=azure-ml-py#detach--).
 
 For more information on creating an AKS cluster using the Azure CLI or portal, see the following articles:
 
@@ -343,7 +343,7 @@ print(token)
 * [Secure experimentation and inference in a virtual network](how-to-enable-virtual-network.md)
 * [How to deploy a model using a custom Docker image](how-to-deploy-custom-docker-image.md)
 * [Deployment troubleshooting](how-to-troubleshoot-deployment.md)
-* [Secure Azure Machine Learning web services with SSL](how-to-secure-web-service.md)
+* [Use TLS to secure a web service through Azure Machine Learning](how-to-secure-web-service.md)
 * [Consume a ML Model deployed as a web service](how-to-consume-web-service.md)
 * [Monitor your Azure Machine Learning models with Application Insights](how-to-enable-app-insights.md)
 * [Collect data for models in production](how-to-enable-data-collection.md)