Update how-to-monitor-datasets.md

SturgeonMi · web-flow · commit aacdd188b20a · 2024-09-17T23:05:09.000-07:00
diff --git a/articles/machine-learning/v1/how-to-monitor-datasets.md b/articles/machine-learning/v1/how-to-monitor-datasets.md
@@ -87,7 +87,7 @@ Before following the steps in this article, make sure you have the following pre
 # [Azure CLI](#tab/azure-cli)
 
 [!INCLUDE [basic prereqs cli](../includes/machine-learning-cli-prereqs.md)]
-
+---
 > [!IMPORTANT]
 >
 > Model monitoring jobs are scheduled to run on serverless Spark compute pools with support for the following VM instance types: `Standard_E4s_v3`, `Standard_E8s_v3`, `Standard_E16s_v3`, `Standard_E32s_v3`, and `Standard_E64s_v3`. You can select the VM instance type with the `create_monitor.compute.instance_type` property in your YAML configuration or from the dropdown in the Azure Machine Learning studio.

Original file line number	Diff line number	Diff line change
`@@ -87,7 +87,7 @@ Before following the steps in this article, make sure you have the following pre`
`87`	`87`	`# [Azure CLI](#tab/azure-cli)`
`88`	`88`
`89`	`89`	`[!INCLUDE [basic prereqs cli](../includes/machine-learning-cli-prereqs.md)]`
`90`		`-`
	`90`	`+---`
`91`	`91`	`> [!IMPORTANT]`
`92`	`92`	`>`
`93`	`93`	> Model monitoring jobs are scheduled to run on serverless Spark compute pools with support for the following VM instance types: `Standard_E4s_v3`, `Standard_E8s_v3`, `Standard_E16s_v3`, `Standard_E32s_v3`, and `Standard_E64s_v3`. You can select the VM instance type with the `create_monitor.compute.instance_type` property in your YAML configuration or from the dropdown in the Azure Machine Learning studio.