Merge pull request #106637 from Blackmist/freshness

freshness

Author: v-shils

articles/machine-learning/concept-train-model-git-integration.md

@@ -8,7 +8,7 @@ ms.subservice: core
 ms.topic: conceptual
 ms.author: jordane
 author: jpe316
-ms.date: 10/11/2019
+ms.date: 03/05/2020
 ---
 # Git integration for Azure Machine Learning
 

articles/machine-learning/how-to-create-workspace-template.md

@@ -8,7 +8,7 @@ ms.subservice: core
 ms.topic: conceptual
 ms.author: larryfr
 author: Blackmist
-ms.date: 11/04/2019
+ms.date: 03/05/2020
 ms.custom: seoapril2019
 
 # Customer intent: As a DevOps person, I need to automate or customize the creation of Azure Machine Learning by using templates.
@@ -106,51 +106,51 @@ The following example template demonstrates how to create a workspace with three
         "description": "Specifies the location for all resources."
       }
     },
-	"sku":{
-	  "type": "string",
-	  "defaultValue": "basic",
+    "sku":{
+      "type": "string",
+      "defaultValue": "basic",
       "allowedValues": [
         "basic",
         "enterprise"
       ],
       "metadata": {
         "description": "Specifies the sku, also referred to as 'edition' of the Azure Machine Learning workspace."
       }
-	},
-	"hbi_workspace":{
-	  "type": "string",
-	  "defaultValue": "false",
+    },
+    "hbi_workspace":{
+      "type": "string",
+      "defaultValue": "false",
       "allowedValues": [
         "false",
         "true"
       ],
       "metadata": {
         "description": "Specifies that the Azure Machine Learning workspace holds highly confidential data."
       }
-	},
-	"encryption_status":{
-	  "type": "string",
-	  "defaultValue": "Disabled",
+    },
+    "encryption_status":{
+      "type": "string",
+      "defaultValue": "Disabled",
       "allowedValues": [
         "Enabled",
         "Disabled"
       ],
       "metadata": {
         "description": "Specifies if the Azure Machine Learning workspace should be encrypted with the customer managed key."
       }
-	},
-	"cmk_keyvault":{
-	  "type": "string",
-	  "metadata": {
+    },
+    "cmk_keyvault":{
+      "type": "string",
+      "metadata": {
         "description": "Specifies the customer managed keyvault Resource Manager ID."
       }
-	},
-	"resource_cmk_uri":{
-	  "type": "string",
-	  "metadata": {
+    },
+    "resource_cmk_uri":{
+      "type": "string",
+      "metadata": {
         "description": "Specifies the customer managed keyvault key uri."
       }
-	}
+    }
   },
   "variables": {
     "storageAccountName": "[concat('sa',uniqueString(resourceGroup().id))]",
@@ -235,24 +235,24 @@ The following example template demonstrates how to create a workspace with three
       "identity": {
         "type": "systemAssigned"
       },
-	  "sku": {
+      "sku": {
             "tier": "[parameters('sku')]",
             "name": "[parameters('sku')]"
       },
-	  "properties": {
+      "properties": {
         "friendlyName": "[parameters('workspaceName')]",
         "keyVault": "[resourceId('Microsoft.KeyVault/vaults',variables('keyVaultName'))]",
         "applicationInsights": "[resourceId('Microsoft.Insights/components',variables('applicationInsightsName'))]",
         "containerRegistry": "[resourceId('Microsoft.ContainerRegistry/registries',variables('containerRegistryName'))]",
         "storageAccount": "[resourceId('Microsoft.Storage/storageAccounts/',variables('storageAccountName'))]",
-		 "encryption": {
+         "encryption": {
                 "status": "[parameters('encryption_status')]",
                 "keyVaultProperties": {
                     "keyVaultArmId": "[parameters('cmk_keyvault')]",
                     "keyIdentifier": "[parameters('resource_cmk_uri')]"
                   }
             },
-		"hbi_workspace": "[parameters('hbi_workspace')]"
+        "hbi_workspace": "[parameters('hbi_workspace')]"
       }
     }
   ]

articles/machine-learning/how-to-deploy-fpga-web-service.md

@@ -10,7 +10,7 @@ ms.topic: conceptual
 ms.reviewer: larryfr
 ms.author: jordane
 author: jpe316
-ms.date: 10/25/2019
+ms.date: 03/05/2020
 ms.custom: seodec18
 ---
 
@@ -321,7 +321,7 @@ To deploy your model as a high-scale production web service, use Azure Kubernete
 ```python
 from azureml.core.compute import AksCompute, ComputeTarget
 
-# Specify the Standard_PB6s Azure VM and location. Values for location may be "eastus", "southeastasia", "westeurope", or "westus2”. If no value is specified, the default is "eastus".
+# Specify the Standard_PB6s Azure VM and location. Values for location may be "eastus", "southeastasia", "westeurope", or "westus2". If no value is specified, the default is "eastus".
 prov_config = AksCompute.provisioning_configuration(vm_size = "Standard_PB6s",
                                                     agent_count = 1,
                                                     location = "eastus")

articles/machine-learning/how-to-deploy-inferencing-gpus.md

@@ -9,7 +9,7 @@ ms.topic: conceptual
 ms.author: vaidyas
 author: csteegz
 ms.reviewer: larryfr
-ms.date: 10/25/2019
+ms.date: 03/05/2020
 ---
 
 # Deploy a deep learning model for inference with GPU

articles/machine-learning/how-to-deploy-local-container-notebook-vm.md

@@ -9,7 +9,7 @@ ms.topic: conceptual
 ms.author: mnark
 author: MrudulaN
 ms.reviewer: larryfr
-ms.date: 10/25/2019
+ms.date: 03/05/2020
 ---
 
 # Deploy a model to Azure Machine Learning compute instances

articles/machine-learning/how-to-manage-quotas.md

@@ -10,7 +10,7 @@ ms.topic: conceptual
 ms.reviewer: jmartens
 author: nishankgu
 ms.author: nigup
-ms.date: 11/04/2019
+ms.date: 03/05/2020
 ---
 
 # Manage and request quotas for Azure resources
@@ -34,7 +34,7 @@ As you design and scale your Azure Machine Learning resources for production wor
 
 Here is a breakdown of the quota limits by various resource types within your Azure subscription.
 
-> [!Important]
+> [!IMPORTANT]
 > Limits are subject to change. The latest can always be found at the service-level quota [document](https://docs.microsoft.com/azure/azure-resource-manager/management/azure-subscription-service-limits/) for all of Azure.
 
 ### Virtual machines

articles/machine-learning/how-to-manage-workspace-cli.md

@@ -9,7 +9,7 @@ ms.topic: conceptual
 
 ms.author: larryfr
 author: Blackmist
-ms.date: 11/05/2019
+ms.date: 03/05/2020
 ---
 
 # Create a workspace for Azure Machine Learning with Azure CLI

articles/machine-learning/how-to-troubleshoot-deployment.md

@@ -9,7 +9,7 @@ ms.topic: conceptual
 author: clauren42
 ms.author:  clauren
 ms.reviewer: jmartens
-ms.date: 10/25/2019
+ms.date: 03/05/2020
 ms.custom: seodec18
 ---
 

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

@@ -9,7 +9,7 @@ ms.topic: conceptual
 ms.author: shipatel
 author: shivp950
 ms.reviewer: larryfr
-ms.date: 11/04/2019
+ms.date: 03/05/2020
 ---