Merge pull request #7570 from v-thepet/free5

BULK Q&M: Azure-Trial Cleanup Project 5

Author: Carolyn135

articles/machine-learning/data-science-virtual-machine/linux-dsvm-walkthrough.md

@@ -23,7 +23,7 @@ In this walkthrough, we analyze the [spambase](https://archive.ics.uci.edu/ml/da
 
 Before you can use a Linux DSVM, you must cover these prerequisites:
 
-* **Azure subscription**. To get an Azure subscription, visit [Create your free Azure account today](https://azure.microsoft.com/free/).
+* **Azure subscription**. To get an Azure subscription, visit [Create your free Azure account today](https://azure.microsoft.com/pricing/purchase-options/azure-account?cid=msft_learn).
 
 * [**Ubuntu Data Science Virtual Machine**](https://azuremarketplace.microsoft.com/marketplace/apps/microsoft-dsvm.ubuntu-2004). For information about provisioning the virtual machine, visit [Provision the Ubuntu Data Science Virtual Machine](./release-notes.md).
 * [**X2Go**](https://wiki.x2go.org/doku.php) installed on your computer with an open XFCE session. For more information, visit [Install and configure the X2Go client](dsvm-ubuntu-intro.md#x2go).

articles/machine-learning/how-to-access-resources-from-endpoints-managed-identities.md

@@ -28,7 +28,7 @@ This guide assumes you don't have a managed identity, a storage account, or an o
 
 # [System-assigned (CLI)](#tab/system-identity-cli)
 
-* To use Azure Machine Learning, you must have an Azure subscription. If you don't have an Azure subscription, create a free account before you begin. Try the [free or paid version of Azure Machine Learning](https://azure.microsoft.com/free/) today.
+* To use Azure Machine Learning, you must have an Azure subscription. If you don't have an Azure subscription, create a free account before you begin. Try the [free or paid version of Azure Machine Learning](https://azure.microsoft.com/pricing/purchase-options/azure-account?cid=msft_learn) today.
 
 * Install and configure the Azure CLI and ML (v2) extension. For more information, see [Install, set up, and use the 2.0 CLI](how-to-configure-cli.md).
 
@@ -54,7 +54,7 @@ This guide assumes you don't have a managed identity, a storage account, or an o
     
 # [User-assigned (CLI)](#tab/user-identity-cli)
 
-* To use Azure Machine Learning, you must have an Azure subscription. If you don't have an Azure subscription, create a free account before you begin. Try the [free or paid version of Azure Machine Learning](https://azure.microsoft.com/free/) today.
+* To use Azure Machine Learning, you must have an Azure subscription. If you don't have an Azure subscription, create a free account before you begin. Try the [free or paid version of Azure Machine Learning](https://azure.microsoft.com/pricing/purchase-options/azure-account?cid=msft_learn) today.
 
 * Install and configure the Azure CLI and ML (v2) extension. For more information, see [Install, set up, and use the 2.0 CLI](how-to-configure-cli.md).
 
@@ -80,7 +80,7 @@ This guide assumes you don't have a managed identity, a storage account, or an o
 
 # [System-assigned (Python)](#tab/system-identity-python)
 
-* To use Azure Machine Learning, you must have an Azure subscription. If you don't have an Azure subscription, create a free account before you begin. Try the [free or paid version of Azure Machine Learning](https://azure.microsoft.com/free/) today.
+* To use Azure Machine Learning, you must have an Azure subscription. If you don't have an Azure subscription, create a free account before you begin. Try the [free or paid version of Azure Machine Learning](https://azure.microsoft.com/pricing/purchase-options/azure-account?cid=msft_learn) today.
 
 * Install and configure the Azure Machine Learning Python SDK (v2). For more information, see [Install and set up SDK (v2)](https://aka.ms/sdk-v2-install).
 
@@ -110,7 +110,7 @@ This guide assumes you don't have a managed identity, a storage account, or an o
 
 # [User-assigned (Python)](#tab/user-identity-python)
 
-* To use Azure Machine Learning, you must have an Azure subscription. If you don't have an Azure subscription, create a free account before you begin. Try the [free or paid version of Azure Machine Learning](https://azure.microsoft.com/free/) today.
+* To use Azure Machine Learning, you must have an Azure subscription. If you don't have an Azure subscription, create a free account before you begin. Try the [free or paid version of Azure Machine Learning](https://azure.microsoft.com/pricing/purchase-options/azure-account?cid=msft_learn) today.
 
 * Role creation permissions for your subscription or the Azure resources accessed by the user-assigned identity. 
 

articles/machine-learning/how-to-access-terminal.md

@@ -25,7 +25,7 @@ Access the terminal of a compute instance in your workspace to:
 
 ## Prerequisites
 
-* An Azure subscription. If you don't have an Azure subscription, create a [free account](https://azure.microsoft.com/free/) before you begin.
+* An Azure subscription. If you don't have an Azure subscription, create a [free account](https://azure.microsoft.com/pricing/purchase-options/azure-account?cid=msft_learn) before you begin.
 * A Machine Learning workspace. See [Create workspace resources](quickstart-create-resources.md).
 
 ## Access a terminal

articles/machine-learning/how-to-auto-train-nlp-models.md

@@ -31,7 +31,7 @@ You can seamlessly integrate with the [Azure Machine Learning data labeling](how
 
 [!INCLUDE [cli v2](includes/machine-learning-cli-v2.md)]
 
-* Azure subscription. If you don't have an Azure subscription, sign up to try the [free or paid version of Azure Machine Learning](https://azure.microsoft.com/free/) today.
+* Azure subscription. If you don't have an Azure subscription, sign up to try the [free or paid version of Azure Machine Learning](https://azure.microsoft.com/pricing/purchase-options/azure-account?cid=msft_learn) today.
 
 * An Azure Machine Learning workspace with a GPU training compute. To create the workspace, see [Create workspace resources](quickstart-create-resources.md). For more information, see [GPU optimized virtual machine sizes](/azure/virtual-machines/sizes-gpu) for more details of GPU instances provided by Azure.
 
@@ -46,7 +46,7 @@ You can seamlessly integrate with the [Azure Machine Learning data labeling](how
 
  [!INCLUDE [sdk v2](includes/machine-learning-sdk-v2.md)]
 
-* Azure subscription. If you don't have an Azure subscription, sign up to try the [free or paid version of Azure Machine Learning](https://azure.microsoft.com/free/) today.
+* Azure subscription. If you don't have an Azure subscription, sign up to try the [free or paid version of Azure Machine Learning](https://azure.microsoft.com/pricing/purchase-options/azure-account?cid=msft_learn) today.
 
 * An Azure Machine Learning workspace with a GPU training compute. To create the workspace, see [Create workspace resources](quickstart-create-resources.md). For more information, see [GPU optimized virtual machine sizes](/azure/virtual-machines/sizes-gpu) for more details of GPU instances provided by Azure.
 

articles/machine-learning/how-to-azure-container-for-pytorch-environment.md

@@ -22,7 +22,7 @@ In this article, you learn how to create a custom environment in Azure Machine L
 
 Before following the steps in this article, make sure you have the following prerequisites:
 
-- An Azure subscription. If you don't have an Azure subscription, create a free account before you begin. Try the [free or paid version of Azure Machine Learning](https://azure.microsoft.com/free/).
+- An Azure subscription. If you don't have an Azure subscription, create a free account before you begin. Try the [free or paid version of Azure Machine Learning](https://azure.microsoft.com/pricing/purchase-options/azure-account?cid=msft_learn).
 - An Azure Machine Learning workspace. If you don't have one, use the steps in the [Quickstart: Create workspace resources](quickstart-create-resources.md) article to create one.
 
 ## Navigate to environments

articles/machine-learning/how-to-built-in-policy-model-deployment.md

@@ -18,7 +18,7 @@ Azure Policy provides built-in policy definitions that help you govern the deplo
 
 ## Prerequisites
 
-- An Azure subscription. If you don't have an Azure subscription, create a [free account](https://azure.microsoft.com/free/) before you begin.
+- An Azure subscription. If you don't have an Azure subscription, create a [free account](https://azure.microsoft.com/pricing/purchase-options/azure-account?cid=msft_learn) before you begin.
 - Permissions to create and assign policies. To create and assign policies, you must be an [Owner](/azure/role-based-access-control/built-in-roles#owner) or [Resource Policy Contributor](/azure/role-based-access-control/built-in-roles#resource-policy-contributor) at the Azure subscription or resource group level.
 - Familiarity with Azure Policy. To learn more, see [What is Azure Policy?](/azure/governance/policy/overview).
 

articles/machine-learning/how-to-configure-auto-train.md

@@ -25,7 +25,7 @@ If you prefer a no-code experience, you can also [set up no-code AutoML training
 
 ## Prerequisites
 
-- An Azure subscription. If you don't have an Azure subscription, create a free account before you begin. Try the [free or paid version of Azure Machine Learning](https://azure.microsoft.com/free/).
+- An Azure subscription. If you don't have an Azure subscription, create a free account before you begin. Try the [free or paid version of Azure Machine Learning](https://azure.microsoft.com/pricing/purchase-options/azure-account?cid=msft_learn).
 - An Azure Machine Learning workspace. If you don't have one, see [Create resources to get started](quickstart-create-resources.md).
 
 # [Python SDK](#tab/python)

articles/machine-learning/how-to-configure-cli.md

@@ -24,7 +24,7 @@ The `ml` extension to the [Azure CLI](/cli/azure/) is the enhanced interface for
 
 ## Prerequisites
 
-- To use the CLI, you must have an Azure subscription. If you don't have an Azure subscription, create a free account before you begin. Try the [free or paid version of Azure Machine Learning](https://azure.microsoft.com/free/) today.
+- To use the CLI, you must have an Azure subscription. If you don't have an Azure subscription, create a free account before you begin. Try the [free or paid version of Azure Machine Learning](https://azure.microsoft.com/pricing/purchase-options/azure-account?cid=msft_learn) today.
 - To use the CLI commands in this document from your **local environment**, you need the [Azure CLI](/cli/azure/install-azure-cli).
 
 ## Installation

articles/machine-learning/how-to-connection.md

@@ -32,7 +32,7 @@ In this article, learn how to connect to data sources located outside of Azure,
 
 ## Prerequisites
 
-- An Azure subscription. If you don't have an Azure subscription, create a free account before you begin. Try the [free or paid version of Azure Machine Learning](https://azure.microsoft.com/free/).
+- An Azure subscription. If you don't have an Azure subscription, create a free account before you begin. Try the [free or paid version of Azure Machine Learning](https://azure.microsoft.com/pricing/purchase-options/azure-account?cid=msft_learn).
 
 - The [Azure Machine Learning SDK for Python](https://aka.ms/sdk-v2-install).
 

articles/machine-learning/how-to-create-attach-compute-studio.md

@@ -24,7 +24,7 @@ You can also use [serverless compute](./how-to-use-serverless-compute.md) as a c
 
 ## Prerequisites
 
-* If you don't have an Azure subscription, create a free account before you begin. Try the [free or paid version of Azure Machine Learning](https://azure.microsoft.com/free/) today
+* If you don't have an Azure subscription, create a free account before you begin. Try the [free or paid version of Azure Machine Learning](https://azure.microsoft.com/pricing/purchase-options/azure-account?cid=msft_learn) today
 * An [Azure Machine Learning workspace](quickstart-create-resources.md)
 
 ## View compute targets