edits

Author: v-thepet

articles/machine-learning/.openpublishing.redirection.machine-learning.json

@@ -1563,7 +1563,7 @@
     {
         "source_path_from_root": "/articles/machine-learning/service/monitor-resource-reference.md",
         "redirect_url": "/azure/machine-learning/monitor-azure-machine-learning-reference",
-        "redirect_document_id": true
+        "redirect_document_id": false
     },
     {
         "source_path_from_root": "/articles/machine-learning/monitor-resource-reference.md",

articles/machine-learning/monitor-azure-machine-learning-reference.md

@@ -40,7 +40,7 @@ At a minimum your service should have the following two articles:
 <!-- Intro. Required. -->
 [!INCLUDE [horz-monitor-ref-intro](~/articles/reusable-content/azure-monitor/horizontals/horz-monitor-ref-intro.md)]
 
-See [Monitor Machine Learning](monitor-azure-machine-learning.md) for details on the data you can collect for Machine Learning and how to use it.
+See [Monitor Machine Learning](monitor-azure-machine-learning.md) for details on the data you can collect for Azure Machine Learning and how to use it.
 
 <!-- ## Metrics. Required section. -->
 [!INCLUDE [horz-monitor-ref-metrics-intro](~/articles/reusable-content/azure-monitor/horizontals/horz-monitor-ref-metrics-intro.md)]
@@ -124,7 +124,7 @@ Microsoft.MachineLearningServices/workspaces
 - [AzureActivity](/azure/azure-monitor/reference/tables/AzureActivity)
 - [AMLOnlineEndpointConsoleLog](/azure/azure-monitor/reference/tables/AMLOnlineEndpointConsoleLog)
 - [AMLOnlineEndpointTrafficLog](/azure/azure-monitor/reference/tables/AMLOnlineEndpointTrafficLog)
-- [AMLOnlineEndpointEvent](/azure/azure-monitor/reference/tables/Log](/azure/azure-monitor/reference/tables/AMLOnlineEndpointEvent)
+- [AMLOnlineEndpointEvent](/azure/azure-monitor/reference/tables/AMLOnlineEndpointEvent)
 - [AzureMetrics](/azure/azure-monitor/reference/tables/AzureMetrics)
 - [AMLComputeClusterEvent](/azure/azure-monitor/reference/tables/AMLComputeClusterEvent)
 - [AMLComputeClusterNodeEvent](/azure/azure-monitor/reference/tables/AMLComputeClusterNodeEvent)
@@ -169,10 +169,6 @@ The following table lists some operations related to Machine Learning that may b
 <!-- ## Other schemas. Optional section. Please keep heading in this order. If your service uses other schemas, add the following include and information. -->
 [!INCLUDE [horz-monitor-ref-other-schemas](~/articles/reusable-content/azure-monitor/horizontals/horz-monitor-ref-other-schemas.md)]
 <!-- List other schemas and their usage here. These can be resource logs, alerts, event hub formats, etc. depending on what you think is important. You can put JSON messages, API responses not listed in the REST API docs, and other similar types of info here.  -->
-## Schemas
-
-The following schemas are in use by Azure Machine Learning
-
 ### AmlComputeJobEvent table
 
 | Property | Description |
@@ -396,7 +392,6 @@ The following schemas are in use by Azure Machine Learning
 | AmlPipelineEndpointId | The ID of the Azure Machine Learning pipeline endpoint. |
 | AmlPipelineEndpointName | The name of the Azure Machine Learning pipeline endpoint. |
 
-
 ### AmlRunEvent table
 
 | Property | Description |

articles/machine-learning/monitor-azure-machine-learning.md

@@ -31,12 +31,13 @@ At a minimum your service should have the following two articles:
 2. A reference article that lists all the metrics and logs for your service (based on the template data-reference-template.md).
    - Title: "Machine Learning monitoring data reference"
    - TOC title: "Monitoring data reference"
-   - Filename: "monitor-machine-learning-reference.md".
+   - Filename: "monitor-azure-machine-learning-reference.md".
 -->
 
 # Monitor Machine Learning
 
 <!-- Intro. Required. -->
+<a name="what-is-azure-monitor"></a>
 [!INCLUDE [horz-monitor-intro](~/articles/reusable-content/azure-monitor/horizontals/horz-monitor-intro.md)]
 
 > [!NOTE]
@@ -48,13 +49,14 @@ At a minimum your service should have the following two articles:
 >
 > If you want to monitor information generated by models deployed to online endpoints, see [Monitor online endpoints](how-to-monitor-online-endpoints.md).
 
-<!-- ## Insights. Optional section. If your service has insights, add the following include and information. 
+<!-- ## Insights. Optional section. If your service has insights, add the following include and information. -->
 [!INCLUDE [horz-monitor-insights](~/articles/reusable-content/azure-monitor/horizontals/horz-monitor-insights.md)]
 <!-- Insights service-specific information. Add brief information about what your Azure Monitor insights provide here. You can refer to another article that gives details or add a screenshot. -->
+Machine Learning can use Application Insights to track metrics and logs. You can send built-in metrics and logs to Application Insights, and use Application Insights features such as Live metrics, Transaction search, Failures, and Performance for further analysis. For more information, see [Monitor online endpoints](how-to-monitor-online-endpoints).
 
 <!-- ## Resource types. Required section. -->
 [!INCLUDE [horz-monitor-resource-types](~/articles/reusable-content/azure-monitor/horizontals/horz-monitor-resource-types.md)]
-For more information about the resource types for Machine Learning, see [Machine Learning monitoring data reference](monitor-machine-learning-reference.md).
+For more information about the resource types for Machine Learning, see [Machine Learning monitoring data reference](monitor-azure-machine-learning-reference.md).
 
 <!-- ## Data storage. Required section. Optionally, add service-specific information about storing your monitoring data after the include. -->
 [!INCLUDE [horz-monitor-data-storage](~/articles/reusable-content/azure-monitor/horizontals/horz-monitor-data-storage.md)]
@@ -66,7 +68,7 @@ For more information about the resource types for Machine Learning, see [Machine
   - If your service doesn't collect platform metrics, use the following include: [!INCLUDE [horz-monitor-no-platform-metrics](~/articles/reusable-content/azure-monitor/horizontals/horz-monitor-no-platform-metrics.md)]
   - If your service collects platform metrics, add the following include, statement, and service-specific information as appropriate. -->
 [!INCLUDE [horz-monitor-platform-metrics](~/articles/reusable-content/azure-monitor/horizontals/horz-monitor-platform-metrics.md)]
-For a list of available metrics for Machine Learning, see [Machine Learning monitoring data reference](monitor-machine-learning-reference.md#metrics).
+For a list of available metrics for Machine Learning, see [Machine Learning monitoring data reference](monitor-azure-machine-learning-reference.md#metrics).
 <!-- Platform metrics service-specific information. Add service-specific information about your platform metrics here.-->
 All metrics for Azure Machine Learning are in the namespace **Machine Learning Service Workspace**.
 
@@ -96,7 +98,7 @@ All metrics for Azure Machine Learning are in the namespace **Machine Learning S
   - If your service doesn't collect resource logs, use the following include [!INCLUDE [horz-monitor-no-resource-logs](~/articles/reusable-content/azure-monitor/horizontals/horz-monitor-no-resource-logs.md)]
   - If your service collects resource logs, add the following include, statement, and service-specific information as appropriate. -->
 [!INCLUDE [horz-monitor-resource-logs](~/articles/reusable-content/azure-monitor/horizontals/horz-monitor-resource-logs.md)]
-For the available resource log categories, their associated Log Analytics tables, and the logs schemas for Machine Learning, see [Machine Learning monitoring data reference](monitor-machine-learning-reference.md#resource-logs).
+For the available resource log categories, their associated Log Analytics tables, and the logs schemas for Machine Learning, see [Machine Learning monitoring data reference](monitor-azure-machine-learning-reference.md#resource-logs).
 <!-- Resource logs service-specific information. Add service-specific information about your resource logs here.
 NOTE: Azure Monitor already has general information on how to configure and route resource logs. See https://learn.microsoft.com/azure/azure-monitor/platform/diagnostic-settings. Ideally, don't repeat that information here. You can provide a single screenshot of the diagnostic settings portal experience if you want. -->
 
@@ -206,6 +208,6 @@ The following table lists common and recommended alert rules for Machine Learnin
 ## Related content
 <!-- You can change the wording and add more links if useful. -->
 
-- See [Machine Learning monitoring data reference](monitor-machine-learning-reference.md) for a reference of the metrics, logs, and other important values created for Machine Learning.
+- See [Machine Learning monitoring data reference](monitor-azure-machine-learning-reference.md) for a reference of the metrics, logs, and other important values created for Machine Learning.
 - See [Monitoring Azure resources with Azure Monitor](/azure/azure-monitor/essentials/monitor-azure-resource) for general details on monitoring Azure resources.
 - See [Manage and request quotas for Azure resources](how-to-manage-quotas.md) for information on working with quotas related to Machine Learning.

articles/machine-learning/toc.yml

@@ -1354,7 +1354,7 @@
     - name: Manage and optimize cost
       displayName: cost-management,cost-optimization
       href: how-to-manage-optimize-cost.md
-    - name: Monitor Azure Machine Learning
+    - name: Monitor
       href: monitor-azure-machine-learning.md
     - name: Secure coding
       displayName: security threat
@@ -1590,8 +1590,8 @@
     - name: Designer component reference
       displayName: module, component, reference, algorithm, studio
       href: algorithm-module-reference/module-reference.md
-    - name: Monitor data reference
-      href: monitor-resource-reference.md
+    - name: Monitoring data reference
+      href: monitor-azure-machine-learning-reference.md
     - name: Azure Policy built-ins
       displayName: samples, policies, definitions
       href: ./policy-reference.md