Merge pull request #218578 from Blackmist/v1-v2-link

updating links to v2

Author: prmerger-automator[bot]

articles/machine-learning/how-to-setup-customer-managed-keys.md

@@ -132,7 +132,7 @@ For more information on customer-managed keys with Azure Cosmos DB, see [Configu
 ### Azure Container Instance
 
 > [!IMPORTANT]
-> Deploying to Azure Container Instances is not available in SDK or CLI v2. Only through SDK & CL v1.
+> Deploying to Azure Container Instances is not available in SDK or CLI v2. Only through SDK & CLI v1.
 
 When __deploying__ a trained model to an Azure Container instance (ACI), you can encrypt the deployed resource using a customer-managed key. For information on generating a key, see [Encrypt data with a customer-managed key](../container-instances/container-instances-encrypt-data.md#generate-a-new-key).
 
@@ -146,9 +146,9 @@ For more information on creating and using a deployment configuration, see the f
 
 * [AciWebservice.deploy_configuration()](/python/api/azureml-core/azureml.core.webservice.aci.aciwebservice#deploy-configuration-cpu-cores-none--memory-gb-none--tags-none--properties-none--description-none--location-none--auth-enabled-none--ssl-enabled-none--enable-app-insights-none--ssl-cert-pem-file-none--ssl-key-pem-file-none--ssl-cname-none--dns-name-label-none--primary-key-none--secondary-key-none--collect-model-data-none--cmk-vault-base-url-none--cmk-key-name-none--cmk-key-version-none-) reference
 * [Where and how to deploy](how-to-deploy-managed-online-endpoints.md)
-* [Deploy a model to Azure Container Instances](v1/how-to-deploy-azure-container-instance.md)
+* [Deploy a model to Azure Container Instances (SDK/CLI v1)](v1/how-to-deploy-azure-container-instance.md)
 
-For more information on using a customer-managed key with ACI, see [Encrypt deployment data](../container-instances/container-instances-encrypt-data.md).
+    For more information on using a customer-managed key with ACI, see [Encrypt deployment data](../container-instances/container-instances-encrypt-data.md).
 
 ### Azure Kubernetes Service
 

articles/machine-learning/how-to-use-event-grid.md

@@ -190,7 +190,7 @@ This example shows how to use event grid with an Azure Logic App to trigger retr
 
 Before you begin, perform the following actions:
 
-* Set up a dataset monitor to [detect data drift](v1/how-to-monitor-datasets.md) in a workspace
+* Set up a dataset monitor to [detect data drift (SDK/CLI v1)](v1/how-to-monitor-datasets.md) in a workspace
 * Create a published [Azure Data Factory pipeline](../data-factory/index.yml).
 
 In this example, a simple Data Factory pipeline is used to copy files into a blob store and run a published Machine Learning pipeline. For more information on this scenario, see how to set up a [Machine Learning step in Azure Data Factory](../data-factory/transform-data-machine-learning-service.md)

articles/machine-learning/reference-kubernetes.md

@@ -30,7 +30,7 @@ This article contains reference information that may be useful when [configuring
 ## Prerequisites for ARO or OCP clusters
 ### Disable Security Enhanced Linux (SELinux) 
 
-[AzureML dataset](v1/how-to-train-with-datasets.md) (used in AzureML training jobs) isn't supported on machines with SELinux enabled. Therefore, you need to disable `selinux`  on all workers in order to use AzureML dataset.
+[AzureML dataset](v1/how-to-train-with-datasets.md) (an SDK v1 feature used in AzureML training jobs) isn't supported on machines with SELinux enabled. Therefore, you need to disable `selinux`  on all workers in order to use AzureML dataset.
 
 ### Privileged setup for ARO and OCP
 

articles/machine-learning/reference-machine-learning-cloud-parity.md

@@ -74,9 +74,9 @@ The information in the rest of this document provides information on what featur
 | View, edit, or delete dataset drift monitors from the SDK                   | Public Preview       | YES                | YES         |
 | View, edit, or delete dataset drift monitors from the UI                    | Public Preview       | YES                | YES         |
 | **Machine learning lifecycle** |   | | |
-| [Model profiling](v1/how-to-deploy-profile-model.md)                                                            | GA                   | YES                | PARTIAL     |
+| [Model profiling (SDK/CLI v1)](v1/how-to-deploy-profile-model.md)                                                            | GA                   | YES                | PARTIAL     |
 | [The Azure ML CLI 1.0](v1/reference-azure-machine-learning-cli.md)     | GA                   | YES                | YES         |
-| [FPGA-based Hardware Accelerated Models](./v1/how-to-deploy-fpga-web-service.md)                                     | GA                   | NO                 | NO          |
+| [FPGA-based Hardware Accelerated Models (SDK/CLI v1)](./v1/how-to-deploy-fpga-web-service.md)                                     | GA                   | NO                 | NO          |
 | [Visual Studio Code integration](how-to-setup-vs-code.md)                                             | Public Preview       | NO                 | NO          |
 | [Event Grid integration](how-to-use-event-grid.md)                                                     | Public Preview       | NO                 | NO          |
 | [Integrate Azure Stream Analytics with Azure Machine Learning](../stream-analytics/machine-learning-udf.md)               | Public Preview       | NO                 | NO          |
@@ -93,13 +93,13 @@ The information in the rest of this document provides information on what featur
 | Interpretability  SDK                                                      | GA                   | YES                | YES         |
 | **Training** |   | | |
 | [Experimentation log streaming](how-to-track-monitor-analyze-runs.md)                                              | GA                   | YES                | YES         |
-| [Reinforcement Learning](./v1/how-to-use-reinforcement-learning.md)                                                     | Public Preview       | NO                 | NO          |
+| [Reinforcement Learning (SDK/CLI v1)](./v1/how-to-use-reinforcement-learning.md)                                                     | Public Preview       | NO                 | NO          |
 | [Experimentation UI](how-to-track-monitor-analyze-runs.md)                                                         | Public Preview                   | YES                | YES         |
 | [.NET integration ML.NET 1.0](/dotnet/machine-learning/tutorials/object-detection-model-builder)                                                | GA                   | YES                | YES         |
 | **Inference** |   | | |
 | Managed online endpoints | GA | YES | YES |
 | [Batch inferencing](tutorial-pipeline-batch-scoring-classification.md)                                                          | GA                   | YES                | YES         |
-| [Azure Stack Edge with FPGA](./v1/how-to-deploy-fpga-web-service.md#deploy-to-a-local-edge-server)                                                    | Public Preview       | NO                 | NO          |
+| [Azure Stack Edge with FPGA (SDK/CLI v1)](./v1/how-to-deploy-fpga-web-service.md#deploy-to-a-local-edge-server)                                                    | Public Preview       | NO                 | NO          |
 | **Other** |   | | |
 | [Open Datasets](../open-datasets/samples.md)                                                              | Public Preview       | YES                | YES         |
 | [Custom Cognitive Search](how-to-deploy-model-cognitive-search.md)                                                    | Public Preview       | YES                | YES         |
@@ -131,7 +131,7 @@ The information in the rest of this document provides information on what featur
 * Model Profiling does not support 4 CPUs in the US-Arizona region.   
 * Sample notebooks may not work in Azure Government if it needs access to public data.
 * IP addresses: The CLI command used in the [required public internet access](how-to-secure-training-vnet.md#required-public-internet-access) instructions does not return IP ranges. Use the [Azure IP ranges and service tags for Azure Government](https://www.microsoft.com/download/details.aspx?id=57063) instead.
-* For scheduled pipelines, we also provide a blob-based trigger mechanism. This mechanism is not supported for CMK workspaces. For enabling a blob-based trigger for CMK workspaces, you have to do extra setup. For more information, see [Trigger a run of a machine learning pipeline from a Logic App](v1/how-to-trigger-published-pipeline.md).
+* For scheduled pipelines, we also provide a blob-based trigger mechanism. This mechanism is not supported for CMK workspaces. For enabling a blob-based trigger for CMK workspaces, you have to do extra setup. For more information, see [Trigger a run of a machine learning pipeline from a Logic App (SDK/CLI v1)](v1/how-to-trigger-published-pipeline.md).
 * Firewalls: When using an Azure Government region, add the following hosts to your firewall setting:
 
     * For Arizona use: `usgovarizona.api.ml.azure.us`

articles/machine-learning/tutorial-create-secure-workspace.md

@@ -473,7 +473,7 @@ When Azure Container Registry is behind the virtual network, Azure Machine Learn
 ## Use the workspace
 
 > [!IMPORTANT]
-> The steps in this article put Azure Container Registry behind the VNet. In this configuration, you cannot deploy a model to Azure Container Instances inside the VNet. We do not recommend using Azure Container Instances with Azure Machine Learning in a virtual network. For more information, see [Secure the inference environment](./v1/how-to-secure-inferencing-vnet.md).
+> The steps in this article put Azure Container Registry behind the VNet. In this configuration, you cannot deploy a model to Azure Container Instances inside the VNet. We do not recommend using Azure Container Instances with Azure Machine Learning in a virtual network. For more information, see [Secure the inference environment (SDK/CLI v1)](./v1/how-to-secure-inferencing-vnet.md).
 >
 > As an alternative to Azure Container Instances, try Azure Machine Learning managed online endpoints. For more information, see [Enable network isolation for managed online endpoints (preview)](how-to-secure-online-endpoint.md).