Merge pull request #245224 from MicrosoftDocs/repo_sync_working_branch

Confirm merge from repo_sync_working_branch to main to sync with https://github.com/MicrosoftDocs/azure-docs (branch main)

Author: Taojunshen

articles/active-directory/cloud-infrastructure-entitlement-management/ui-triggers.md

@@ -12,15 +12,15 @@ ms.date: 02/23/2022
 ms.author: jfields
 ---
 
-# View information about activity triggers
+# View information about alerts and alert triggers
 
-This article describes how to use the **Activity triggers** dashboard in Permissions Management to view information about activity alerts and triggers.
+This article describes how to use the **Alerts** dashboard in Permissions Management to view information about alerts and alert triggers.
 
-## Display the Activity triggers dashboard
+## Display the Alerts dashboard
 
-- In the Permissions Management home page, select **Activity triggers** (the bell icon).
+- In the Permissions Management home page, select **Alerts** (the bell icon).
 
-    The **Activity triggers** dashboard has four tabs:
+    The **Alerts** dashboard has four tabs:
 
     - **Activity**
     - **Rule-Based Anomaly**

articles/aks/learn/quick-kubernetes-deploy-cli.md

@@ -75,10 +75,10 @@ The following example creates a resource group named *myResourceGroup* in the *e
 
 The following example creates a cluster named *myAKSCluster* with one node and enables a system-assigned managed identity.
 
-* Create an AKS cluster using the [`az aks create`][az-aks-create] command with the `--enable-addons monitoring` and `--enable-msi-auth-for-monitoring` parameters to enable [Azure Monitor Container insights][azure-monitor-containers] with managed identity authentication (preview).
+* Create an AKS cluster using the [`az aks create`][az-aks-create] command with the `--enable-addons monitoring` parameter to enable [Azure Monitor Container insights][azure-monitor-containers] with managed identity authentication (Minimum Azure CLI version 2.49.0 or higher).
 
     ```azurecli-interactive
-    az aks create -g myResourceGroup -n myAKSCluster --enable-managed-identity --node-count 1 --enable-addons monitoring --enable-msi-auth-for-monitoring  --generate-ssh-keys
+    az aks create -g myResourceGroup -n myAKSCluster --enable-managed-identity --node-count 1 --enable-addons monitoring --generate-ssh-keys
     ```
 
     After a few minutes, the command completes and returns JSON-formatted information about the cluster.

articles/azure-maps/power-bi-visual-add-heat-map-layer.md

@@ -1,7 +1,7 @@
 ---
 title: Add a heat map layer to an Azure Maps Power BI visual
-titleSuffix: Microsoft Azure Maps
-description: In this article, you will learn how to use the heat map layer in an Azure Maps Power BI visual.
+titleSuffix: Microsoft Azure Maps Power BI visual
+description: This article describes how to use the heat map layer in an Azure Maps Power BI visual.
 author: deniseatmicrosoft
 ms.author: limingchen
 ms.date: 05/23/2023
@@ -12,11 +12,11 @@ services: azure-maps
 
 # Add a heat map layer
 
-In this article, you will learn how to add a heat map layer to an Azure Maps Power BI visual.
+This article describes how to add a heat map layer to an Azure Maps Power BI visual.
 
 :::image type="content" source="media/power-bi-visual/heat-map.png" alt-text="Heat map layer in an Azure Maps Power BI visual.":::
 
-Heat maps, also known as density maps, are a type of overlay on a map used to represent the density of data using different colors. Heat maps are often used to show the data "hot spots" on a map. Heat maps are a great way to render datasets with large number of points. Displaying a large number of data points on a map will result in a degradation in performance and can cover it with overlapping symbols, making it unusable. Rendering the data as a heat map results not only in better performance, it helps you make better sense of the data by making it easy to see the relative density of each data point.
+Heat maps, also known as density maps, are a type of overlay on a map used to represent the density of data using different colors. Heat maps are often used to show the data "hot spots" on a map. Heat maps are a great way to render datasets with large number of points. Displaying a large number of data points on a map results in a degradation in performance and can cover it with overlapping symbols, making it unusable. Rendering the data as a heat map results not only in better performance, it helps you make better sense of the data by making it easy to see the relative density of each data point.
 
 A heat map is useful when users want to visualize vast comparative data:
 
@@ -26,8 +26,8 @@ A heat map is useful when users want to visualize vast comparative data:
 
 ## Prerequisites
 
-- [Get started with Azure Maps Power BI visual](./power-bi-visual-get-started.md).
-- Understand [layers in the Azure Maps Power BI visual](./power-bi-visual-understanding-layers.md).
+- [Get started with Azure Maps Power BI visual].
+- Understand [layers in the Azure Maps Power BI visual].
 
 ## Add the heat map layer
 
@@ -45,23 +45,22 @@ The **Heat map** section of the **Format** pane provides flexibility to customiz
 - Specify if the value in size field should be used as the weight of each data point.
 - Pick different colors from color pickers.
 - Set the minimum and maximum zoom level for heat map layer to be visible.
-- Decide the heat map layer position amongst different layers, e.g., 3D column layer and bubble layer.
+- Decide the heat map layer position amongst different layers, such as the 3D column and bubble layer.
 
 The following table shows the primary settings that are available in the **Heat map** section of the **Format** pane:
 
 | Setting              | Description      |
 |----------------------|------------------|
-| Size | The radius of each data point in the heat map.<br /><br />Valid values when Unit = ‘pixels’: 1 - 200. Default: **20**<br />Valid values when Unit = ‘meters’: 1 - 4,000,000|
-
+| Size | The radius of each data point in the heat map.<br><br>Valid values when Unit = ‘pixels’: 1 - 200. Default: **20**<br>Valid values when Unit = ‘meters’: 1 - 4,000,000|
 
 | Setting              | Description      |
 |----------------------|------------------|
-| Radius | The radius of each data point in the heat map.<br /><br />Valid values when Unit = ‘pixels’: 1 - 200. Default: **20**<br />Valid values when Unit = ‘meters’: 1 - 4,000,000|
-| Units  | The distance units of the radius. Possible values are:<br /><br />**pixels**. When set to pixels the size of each data point will always be the same, regardless of zoom level.<br />**meters**. When set to meters, the size of the data points will scale based on zoom level based on the equivalent pixel distance at the equator, providing better relativity between neighboring points. However, due to the Mercator projection, the actual radius of coverage in meters at a given latitude will be smaller than this specified radius.<br /><br /> Default: **pixels**  |
-| Transparency | Sets the Transparency of the heat map layer. Default: **1**<br/>Value should be from 0% to 100%. |
+| Radius | The radius of each data point in the heat map.<br><br>Valid values when Unit = ‘pixels’: 1 - 200. Default: **20**<br>Valid values when Unit = ‘meters’: 1 - 4,000,000|
+| Units  | The distance units of the radius. Possible values are:<br><br>**pixels**. When set to pixels the size of each data point is the same, regardless of zoom level.<br>**meters**. When set to meters, the size of the data points scale based on zoom level based on the equivalent pixel distance at the equator, providing better relativity between neighboring points. However, due to the Mercator projection, the actual radius of coverage in meters at a given latitude are smaller than this specified radius.<br><br> Default: **pixels**  |
+| Transparency | Sets the Transparency of the heat map layer. Default: **1**<br>Value should be from 0% to 100%. |
 | Intensity | The intensity of each heat point. Intensity is a decimal value between 0 and 1, used to specify how "hot" a single data point should be. Default: **0.5** |
-| Use size as weight | A boolean value that determines if the size field value should be used as the weight of each data point. If on, this causes the layer to render as a weighted heat map. Default: **Off** |
-| Gradient |Color pick for users to pick 3 colors for low (0%), center (50%) and high (100%) gradient colors. |
+| Use size as weight | A boolean value that determines if the size field value should be used as the weight of each data point. When `On`, the layer renders as a weighted heat map. Default: `Off` |
+| Gradient |A color picker for users to pick three colors for low (0%), center (50%) and high (100%) gradient colors. |
 | Min zoom |Minimum zoom level the layer is visible at. Valid values are 1 to 22. Default: **0** |
 |Max zoom |Maximum zoom level the layer is visible at.  Valid values are 1 to 22. Default: **22**|
 |Layer position |Specify the position of the layer relative to other map layers. Valid values include **Above labels**, **Below labels** and **Below roads** |
@@ -71,23 +70,32 @@ The following table shows the primary settings that are available in the **Heat
 Change how your data is displayed on the map:
 
 > [!div class="nextstepaction"]
-> [Add a 3D column layer](power-bi-visual-add-3d-column-layer.md)
+> [Add a 3D column layer]
 
 Add more context to the map:
 
 > [!div class="nextstepaction"]
-> [Add a reference layer](power-bi-visual-add-reference-layer.md)
+> [Add a reference layer]
 
 > [!div class="nextstepaction"]
-> [Add a tile layer](power-bi-visual-add-tile-layer.md)
+> [Add a tile layer]
 
 > [!div class="nextstepaction"]
-> [Show real-time traffic](power-bi-visual-show-real-time-traffic.md)
+> [Show real-time traffic]
 
 Customize the visual:
 
 > [!div class="nextstepaction"]
-> [Tips and tricks for color formatting in Power BI](/power-bi/visuals/service-tips-and-tricks-for-color-formatting)
+> [Tips and tricks for color formatting in Power BI]
 
 > [!div class="nextstepaction"]
-> [Customize visualization titles, backgrounds, and legends](/power-bi/visuals/power-bi-visualization-customize-title-background-and-legend)
+> [Customize visualization titles, backgrounds, and legends]
+
+[Add a 3D column layer]: power-bi-visual-add-3d-column-layer.md
+[Add a reference layer]: power-bi-visual-add-reference-layer.md
+[Add a tile layer]: power-bi-visual-add-tile-layer.md
+[Customize visualization titles, backgrounds, and legends]: /power-bi/visuals/power-bi-visualization-customize-title-background-and-legend
+[Get started with Azure Maps Power BI visual]: power-bi-visual-get-started.md
+[layers in the Azure Maps Power BI visual]: power-bi-visual-understanding-layers.md
+[Show real-time traffic]: power-bi-visual-show-real-time-traffic.md
+[Tips and tricks for color formatting in Power BI]: /power-bi/visuals/service-tips-and-tricks-for-color-formatting

articles/azure-maps/power-bi-visual-add-pie-chart-layer.md

@@ -1,49 +1,49 @@
 ---
 title: Add a pie chart layer to an Azure Maps Power BI visual
 titleSuffix: Microsoft Azure Maps
-description: In this article, you will learn how to use the pie chart layer in an Azure Maps Power BI visual.
+description: This article describes how to use the pie chart layer in an Azure Maps Power BI visual.
 author: deniseatmicrosoft
 ms.author: limingchen
-ms.date: 03/15/2022
+ms.date: 07/17/2023
 ms.topic: how-to
 ms.service: azure-maps
 services: azure-maps
 ---
 
 # Add a pie chart layer
 
-In this article, you will learn how to add a pie chart layer to an Azure Maps Power BI visual.
+This article describes how to add a pie chart layer to an Azure Maps Power BI visual.
 
 A pie chart is a visual representation of data in the form of a circular chart or *pie* where each slice represents an element of the dataset that is shown as a percentage of the whole. A list of numerical variables along with categorical (location) variables are required to represent data in the form of a pie chart.
 
 :::image type="content" source="./media/power-bi-visual/pie-chart-layer.png" alt-text="A Power B I visual showing the pie chart layer.":::
 
 > [!NOTE]
-> The data used in this article comes from the [Power BI Sales and Marketing Sample](/power-bi/create-reports/sample-datasets#download-original-sample-power-bi-files).
+> The data used in this article comes from the [Power BI Sales and Marketing Sample].
 
 ## Prerequisites
 
-- [Get started with Azure Maps Power BI visual](./power-bi-visual-get-started.md).
-- Understand [layers in the Azure Maps Power BI visual](./power-bi-visual-understanding-layers.md).
+- [Get started with Azure Maps Power BI visual].
+- Understand [Layers in the Azure Maps Power BI visual].
 
 ## Add the pie chart layer
 
 The pie chart layer is added automatically based on what fields in the **Visualizations** pane have values, these fields include location, size and legend.
 
 :::image type="content" source="./media/power-bi-visual/visualizations-settings-pie-chart.png" alt-text="A screenshot showing the fields required for the pie chart layer Power B I.":::
 
-The following steps will walk you through creating a pie chart layer.
+The following steps walk you through creating a pie chart layer.
 
 1. Select two location sources from the **Fields** pane, such as city/state, to add to the **Location** field.
 1. Select a numerical field from your table, such as sales, and add it to the **Size** field in the **Visualizations** pane. This field must contain the numerical values used in the pie chart.
-1. Select a data field from your table that can be used as the category that the numerical field applies to, such as *manufacturer*, and add it to the **Legend** field in the **Visualizations** pane. This will appear as the slices of the pie, the size of each slice is a percentage of the whole based on the value in the size field, such as the number of sales broken out by manufacturer.
+1. Select a data field from your table that can be used as the category that the numerical field applies to, such as *manufacturer*, and add it to the **Legend** field in the **Visualizations** pane. This appears as the slices of the pie, the size of each slice is a percentage of the whole based on the value in the size field, such as the number of sales broken out by manufacturer.
 1. Next, in the **Format** tab of the **Visualizations** pane, switch the **Bubbles** toggle to **On**.
 
 The pie chart layer should now appear. Next you can adjust the Pie chart settings such as size and transparency.
 
 ## Pie chart layer settings
 
-Pie Chart layer is an extension of the bubbles layer, so all settings are made in the **Bubbles** section. If a field is passed into the **Legend** bucket of the **Fields** pane, the pie charts will be populated and will be colored based on their categorization. The outline of the pie chart is white by default but can be changed to a new color. The following are the settings in the **Format** tab of the **Visualizations** pane that are available to a **Pie Chart layer**.
+Pie Chart layer is an extension of the bubbles layer, so all settings are made in the **Bubbles** section. If a field is passed into the **Legend** bucket of the **Fields** pane, the pie charts are populated and colored based on their categorization. The outline of the pie chart is white by default but can be changed to a new color. The following are the settings in the **Format** tab of the **Visualizations** pane that are available to a **Pie Chart layer**.
 
 :::image type="content" source="./media/power-bi-visual/visualizations-settings-bubbles.png" alt-text="A screenshot showing the pie chart settings that appear in the bubbles section when the format tab is selected in the visualization pane in power B I.":::
 
@@ -63,7 +63,13 @@ Pie Chart layer is an extension of the bubbles layer, so all settings are made i
 Change how your data is displayed on the map:
 
 > [!div class="nextstepaction"]
-> [Add a 3D column layer](power-bi-visual-add-3d-column-layer.md)
+> [Add a 3D column layer]
 
 > [!div class="nextstepaction"]
-> [Add a heat map layer](power-bi-visual-add-heat-map-layer.md)
+> [Add a heat map layer]
+
+[Power BI Sales and Marketing Sample]: /power-bi/create-reports/sample-datasets#download-original-sample-power-bi-files
+[Get started with Azure Maps Power BI visual]: power-bi-visual-get-started.md
+[Layers in the Azure Maps Power BI visual]: power-bi-visual-understanding-layers.md
+[Add a 3D column layer]: power-bi-visual-add-3d-column-layer.md
+[Add a heat map layer]: power-bi-visual-add-heat-map-layer.md

articles/azure-monitor/containers/container-insights-cost-config.md

@@ -125,20 +125,26 @@ Create a file and provide values for _interval_, _namespaceFilteringMode_, and _
 
 ## Onboarding to a new AKS cluster
 
+> [!NOTE]
+> Minimum Azure CLI version 2.49.0 or higher.
+
 Use the following command to enable monitoring of your AKS cluster
 
 ```azcli
-az aks create -g myResourceGroup -n myAKSCluster --enable-managed-identity --node-count 1 --enable-addons monitoring --enable-msi-auth-for-monitoring --data-collection-settings dataCollectionSettings.json --generate-ssh-keys 
+az aks create -g myResourceGroup -n myAKSCluster --enable-managed-identity --node-count 1 --enable-addons monitoring --data-collection-settings dataCollectionSettings.json --generate-ssh-keys 
 ```
 
 ## Onboarding to an existing AKS Cluster
 
 ## [Azure CLI](#tab/create-CLI)
 
+> [!NOTE]
+> Minimum Azure CLI version 2.49.0 or higher.
+
 ### Onboard to a cluster without the monitoring addon
 
 ```azcli
-az aks enable-addons -a monitoring --enable-msi-auth-for-monitoring -g <clusterResourceGroup> -n <clusterName> --data-collection-settings dataCollectionSettings.json
+az aks enable-addons -a monitoring -g <clusterResourceGroup> -n <clusterName> --data-collection-settings dataCollectionSettings.json
 ```
 
 ### Onboard to a cluster with an existing monitoring addon
@@ -151,7 +157,7 @@ az aks show -g <clusterResourceGroup> -n <clusterName> | grep -i "logAnalyticsWo
 az aks disable-addons -a monitoring -g <clusterResourceGroup> -n <clusterName>
 
 # enable monitoring with data collection settings
-az aks enable-addons -a monitoring --enable-msi-auth-for-monitoring -g <clusterResourceGroup> -n <clusterName> --workspace-resource-id <logAnalyticsWorkspaceResourceId> --data-collection-settings dataCollectionSettings.json
+az aks enable-addons -a monitoring -g <clusterResourceGroup> -n <clusterName> --workspace-resource-id <logAnalyticsWorkspaceResourceId> --data-collection-settings dataCollectionSettings.json
 ```
 
 ## [Azure portal](#tab/create-portal)