Merge pull request #273371 from MicrosoftDocs/main

Merge main to live, 4 AM

Author: v-ccolin

articles/ai-services/speech-service/how-to-pronunciation-assessment.md

@@ -418,7 +418,7 @@ The following table describes the prosody assessment results in more detail:
 | `ErrorTypes`      | Error types related to breaks, including `UnexpectedBreak` and `MissingBreak`. The current version doesn't provide the break error type. You need to set thresholds on the fields `UnexpectedBreak – Confidence` and `MissingBreak – confidence` to decide whether there's an unexpected break or missing break before the word. |
 | `UnexpectedBreak` | Indicates an unexpected break before the word. |
 | `MissingBreak`    | Indicates a missing break before the word. |
-| `Thresholds`      | Suggested thresholds on both confidence scores are 0.75. That means, if the value of `UnexpectedBreak – Confidence` is larger than 0.75, it has an unexpected break. If the value of `MissingBreak – confidence` is larger than 0.75, it has a missing break. If you want to have variable detection sensitivity on these two breaks, you can assign different thresholds to the `UnexpectedBreak - Confidence` and `MissingBreak - Confidence` fields. |
+| `Thresholds`      | Suggested thresholds on both confidence scores are 0.75. That means, if the value of `UnexpectedBreak – Confidence` is larger than 0.75, it has an unexpected break. If the value of `MissingBreak – confidence` is larger than 0.75, it has a missing break. While 0.75 is a value we recommend, it's better to adjust the thresholds based on your own scenario. If you want to have variable detection sensitivity on these two breaks, you can assign different thresholds to the `UnexpectedBreak - Confidence` and `MissingBreak - Confidence` fields.  |
 | `Intonation`      | Indicates intonation in speech. |
 | `ErrorTypes`      | Error types related to intonation, currently supporting only Monotone. If the `Monotone` exists in the field `ErrorTypes`, the utterance is detected to be monotonic. Monotone is detected on the whole utterance, but the tag is assigned to all the words. All the words in the same utterance share the same monotone detection information. |
 | `Monotone`   | Indicates monotonic speech. |

articles/ai-services/speech-service/personal-voice-overview.md

@@ -19,7 +19,7 @@ With personal voice, you can get AI generated replication of your voice (or user
 
 > [!NOTE]
 > Personal voice is available in these regions: West Europe, East US, and South East Asia. 
-> For supported locales, see [personal voice language support](./language-support.md#personal-voice).
+> For supported locales, see [personal voice language support](./language-support.md?tabs=tts#personal-voice).
 
 The following table summarizes the difference between personal voice and professional custom neural voice.  
 

articles/ddos-protection/manage-ddos-protection.md

@@ -119,13 +119,16 @@ Under **Protected resources**, you can view your protected virtual networks and
 
 ### Disable for a virtual network:
 
-To disable DDoS protection for a virtual network proceed with the following steps.
+You can disable the DDoS protection from a virtual network, while it is still enabled on other virtual networks. To disable DDoS protection for a virtual network proceed with the following steps.
 
 1. Enter the name of the virtual network you want to disable DDoS Network Protection for in the **Search resources, services, and docs box** at the top of the portal. When the name of the virtual network appears in the search results, select it.
 1. Under **DDoS Network Protection**, select **Disable**.
 
     :::image type="content" source="./media/manage-ddos-protection/ddos-disable-in-virtual-network.gif" alt-text="Gif of disabling DDoS Protection within virtual network.":::
 
+> [!NOTE]
+> Disabling a DDoS protection from a virtual network will not delete it. The DDoS protection costs will still be charged if you only disable the DDoS protection from a virtual network, without deleting the DDoS protection plan itself. To avoid unnecesary costs, you need to fully delete the DDoS protection plan resource. Please see [Clean up resources](#clean-up-resources). 
+
 ## Clean up resources
 
 You can keep your resources for the next tutorial. If no longer needed, delete the _MyResourceGroup_ resource group. When you delete the resource group, you also delete the DDoS protection plan and all its related resources. If you don't intend to use this DDoS protection plan, you should remove resources to avoid unnecessary charges.

articles/hdinsight/spark/apache-spark-use-bi-tools.md

@@ -4,7 +4,7 @@ description: Tutorial - Use Microsoft Power BI to visualize Apache Spark data st
 ms.service: hdinsight
 ms.topic: tutorial
 ms.custom: hdinsightactive, mvc
-ms.date: 05/26/2023
+ms.date: 04/25/2024
 #Customer intent: As a developer new to Apache Spark and to Apache Spark in Azure HDInsight, I want to learn how to virtualize Spark data in BI tools.
 ---
 
@@ -39,7 +39,7 @@ The [Jupyter Notebook](https://jupyter.org/) that you created in the [previous t
 
     The output looks like:
 
-    :::image type="content" source="./media/apache-spark-use-bi-tools/apache-spark-show-tables.png" alt-text="Show tables in Spark." border="true":::
+    :::image type="content" source="./media/apache-spark-use-bi-tools/apache-spark-show-tables.png" alt-text="Screenshot showing tables in Spark." border="true":::
 
     If you closed the notebook before starting this tutorial, `hvactemptable` is cleaned up, so it's not included in the output.  Only Hive tables that are stored in the metastore (indicated by **False** under the **isTemporary** column) can be accessed from the BI tools. In this tutorial, you connect to the **hvac** table that you created.
 
@@ -52,7 +52,7 @@ The [Jupyter Notebook](https://jupyter.org/) that you created in the [previous t
 
     The output looks like:
 
-    :::image type="content" source="./media/apache-spark-use-bi-tools/apache-spark-select-limit.png" alt-text="Show rows from hvac table in Spark." border="true":::
+    :::image type="content" source="./media/apache-spark-use-bi-tools/apache-spark-select-limit.png" alt-text="Screenshot showing rows from hvac table in Spark." border="true":::
 
 3. From the **File** menu on the notebook, select **Close and Halt**. Shut down the notebook to release the resources.
 
@@ -68,11 +68,11 @@ The first steps in working with Spark are to connect to the cluster in Power BI
 
 2. From the **Home** tab, navigate to **Get Data** > **More..**.
 
-    :::image type="content" source="./media/apache-spark-use-bi-tools/hdinsight-spark-power-bi-desktop-get-data.png " alt-text="Get data into Power BI Desktop from HDInsight Apache Spark." border="true":::
+    :::image type="content" source="./media/apache-spark-use-bi-tools/hdinsight-spark-power-bi-desktop-get-data.png " alt-text="Screenshot showing get data into Power BI Desktop from HDInsight Apache Spark." border="true":::
 
 3. Enter `Spark` in the search box, select **Azure HDInsight Spark**, and then select **Connect**.
 
-    :::image type="content" source="./media/apache-spark-use-bi-tools/apache-spark-bi-import-data-power-bi.png " alt-text="Get data into Power BI from Apache Spark BI." border="true":::
+    :::image type="content" source="./media/apache-spark-use-bi-tools/apache-spark-bi-import-data-power-bi.png " alt-text="Screenshot showing get data into Power BI from Apache Spark BI." border="true":::
 
 4. Enter your cluster URL (in the form `mysparkcluster.azurehdinsight.net`) in the **Server** text box.
 
@@ -84,7 +84,7 @@ The first steps in working with Spark are to connect to the cluster in Power BI
 
 7. Select the `hvac` table, wait to see a preview of the data, and then select **Load**.
 
-    :::image type="content" source="./media/apache-spark-use-bi-tools/apache-spark-bi-select-table.png " alt-text="Spark cluster user name and password." border="true":::
+    :::image type="content" source="./media/apache-spark-use-bi-tools/apache-spark-bi-select-table.png " alt-text="Screenshot showing Spark cluster user name and password." border="true":::
 
     Power BI Desktop has the information it needs to connect to the Spark cluster and load data from the `hvac` table. The table and its columns are displayed in the **Fields** pane.
 
@@ -94,21 +94,21 @@ The first steps in working with Spark are to connect to the cluster in Power BI
 
     2. Drag the **BuildingID** field to **Axis**, and drag the **ActualTemp** and **TargetTemp** fields to **Value**.
 
-        :::image type="content" source="./media/apache-spark-use-bi-tools/apache-spark-bi-add-value-columns.png " alt-text="add value columns." border="true":::
+        :::image type="content" source="./media/apache-spark-use-bi-tools/apache-spark-bi-add-value-columns.png " alt-text="Screenshot showing add value columns." border="true":::
 
         The diagram looks like:
 
-        :::image type="content" source="./media/apache-spark-use-bi-tools/apache-spark-bi-area-graph-sum.png " alt-text="area graph sum." border="true":::
+        :::image type="content" source="./media/apache-spark-use-bi-tools/apache-spark-bi-area-graph-sum.png " alt-text="Screenshot showing area graph sum." border="true":::
 
         By default the visualization shows the sum for **ActualTemp** and **TargetTemp**. Select the down arrow next to **ActualTemp** and **TragetTemp** in the Visualizations pane, you can see **Sum** is selected.
 
     3. Select the down arrows next to **ActualTemp** and **TragetTemp** in the Visualizations pane, select **Average** to get an average of actual and target temperatures for each building.
 
-        :::image type="content" source="./media/apache-spark-use-bi-tools/apache-spark-bi-average-of-values.png " alt-text="average of values." border="true":::
+        :::image type="content" source="./media/apache-spark-use-bi-tools/apache-spark-bi-average-of-values.png " alt-text="Screenshot showing average of values." border="true":::
 
         Your data visualization shall be similar to the one in the screenshot. Move your cursor over the visualization to get tool tips with relevant data.
 
-        :::image type="content" source="./media/apache-spark-use-bi-tools/apache-spark-bi-area-graph.png " alt-text="area graph" border="true":::.png " alt-text="area graph." border="true":::
+        :::image type="content" source="./media/apache-spark-use-bi-tools/apache-spark-bi-area-graph.png " alt-text="Screenshot showing area graph" border="true":::
 
 9. Navigate to **File** > **Save**, enter the name `BuildingTemperature` for the file, then select **Save**.
 
@@ -120,43 +120,43 @@ The Power BI service allows you to share reports and dashboards across your orga
 
 1. From the **Home** tab, select **Publish**.
 
-    :::image type="content" source="./media/apache-spark-use-bi-tools/apache-spark-bi-publish.png " alt-text="Publish from Power BI Desktop." border="true"::: Desktop" border="true":::
+    :::image type="content" source="./media/apache-spark-use-bi-tools/apache-spark-bi-publish.png " alt-text="Screenshot showing publish from Power BI Desktop." border="true":::
 
 1. Select a workspace to publish your dataset and report to, then select **Select**. In the following image, the default **My Workspace** is selected.
 
-    :::image type="content" source="./media/apache-spark-use-bi-tools/apache-spark-bi-select-workspace.png " alt-text="Select workspace to publish dataset and report to." border="true":::
+    :::image type="content" source="./media/apache-spark-use-bi-tools/apache-spark-bi-select-workspace.png " alt-text="Screenshot showing select workspace to publish dataset and report to." border="true":::
 
 1. After the publishing is succeeded, select **Open 'BuildingTemperature.pbix' in Power BI**.
 
-    :::image type="content" source="./media/apache-spark-use-bi-tools/apache-spark-bi-publish-success.png " alt-text="Publish success, click to enter credentials." border="true":::
+    :::image type="content" source="./media/apache-spark-use-bi-tools/apache-spark-bi-publish-success.png " alt-text="Screenshot showing publish success, click to enter credentials." border="true":::
 
 1. In the Power BI service, select **Enter credentials**.
 
-    :::image type="content" source="./media/apache-spark-use-bi-tools/apache-spark-bi-enter-credentials.png " alt-text="Enter credentials in Power BI service." border="true":::" border="true":::
+    :::image type="content" source="./media/apache-spark-use-bi-tools/apache-spark-bi-enter-credentials.png " alt-text="Screenshot showing how to enter credentials in Power BI service." border="true":::
 
 1. Select **Edit credentials**.
 
-    :::image type="content" source="./media/apache-spark-use-bi-tools/apache-spark-bi-edit-credentials.png " alt-text="Edit credentials in Power BI service." border="true":::
+    :::image type="content" source="./media/apache-spark-use-bi-tools/apache-spark-bi-edit-credentials.png " alt-text="Screenshot showing Edit credentials in Power BI service." border="true":::
 
 1. Enter the HDInsight login account information, and then select **Sign in**. The default account name is *admin*.
 
-    :::image type="content" source="./media/apache-spark-use-bi-tools/apache-spark-bi-sign-in.png " alt-text="Sign in to Spark cluster." border="true":::Spark cluster" border="true":::
+    :::image type="content" source="./media/apache-spark-use-bi-tools/apache-spark-bi-sign-in.png " alt-text="Screenshot showing Sign in to Spark cluster." border="true"
 
 1. In the left pane, go to **Workspaces** > **My Workspace** > **REPORTS**, then select **BuildingTemperature**.
 
-    :::image type="content" source="./media/apache-spark-use-bi-tools/apache-spark-bi-service-left-pane.png " alt-text="Report listed under reports in left pane." border="true":::
+    :::image type="content" source="./media/apache-spark-use-bi-tools/apache-spark-bi-service-left-pane.png " alt-text="Screenshot showing Report listed under reports in left pane." border="true":::
 
     You should also see **BuildingTemperature** listed under **DATASETS** in the left pane.
 
     The visual you created in Power BI Desktop is now available in the Power BI service.
 
 1. Hover your cursor over the visualization, and then select the pin icon on the upper right corner.
 
-    :::image type="content" source="./media/apache-spark-use-bi-tools/apache-spark-bi-service-report.png " alt-text="Report in the Power BI service." border="true":::
+    :::image type="content" source="./media/apache-spark-use-bi-tools/apache-spark-bi-service-report.png " alt-text="Screenshot showing report in the Power BI service." border="true":::
 
 1. Select "New dashboard", enter the name `Building temperature`, then select **Pin**.
 
-    :::image type="content" source="./media/apache-spark-use-bi-tools/apache-spark-bi-pin-dashboard.png " alt-text="Pin to new dashboard." border="true"::: to new dashboard" border="true":::
+    :::image type="content" source="./media/apache-spark-use-bi-tools/apache-spark-bi-pin-dashboard.png " alt-text="Screenshot showing pin to new dashboard." border="true"::: 
 
 1. In the report, select **Go to dashboard**.
 

articles/iot-operations/deploy-iot-ops/howto-prepare-cluster.md

@@ -182,7 +182,7 @@ az iot ops verify-host
 
 ## Create sites
 
-To manage which clusters your OT users have access to, you can group your clusters into sites. To learn more, see [What is Azure Arc site manager (preview)?](https://aka.ms/sitedocs).
+To manage which clusters your OT users have access to, you can group your clusters into sites. To learn more, see [What is Azure Arc site manager (preview)?](../../azure-arc/site-manager/overview.md).
 
 ## Next steps
 

articles/iot-operations/get-started/quickstart-add-assets.md

@@ -42,7 +42,7 @@ To create asset endpoints, assets and subscribe to OPC UA tags and events, use t
 
 ## Select your site
 
-After you sign in, the portal displays a list of sites that you have access to. Each site is a collection of Azure IoT Operations instances where you can configure your assets. Your [IT administrator is responsible for organizing instances in to sites](https://aka.ms/sitedocs) and granting access to OT users in your organization. Because you're working with a new deployment, there are no sites yet. You can find the cluster you created in the previous quickstart by selecting **Unassigned instances**. In the portal, an instance represents a cluster where you deployed Azure IoT Operations.
+After you sign in, the portal displays a list of sites that you have access to. Each site is a collection of Azure IoT Operations instances where you can configure your assets. Your [IT administrator is responsible for organizing instances in to sites](../../azure-arc/site-manager/overview.md) and granting access to OT users in your organization. Because you're working with a new deployment, there are no sites yet. You can find the cluster you created in the previous quickstart by selecting **Unassigned instances**. In the portal, an instance represents a cluster where you deployed Azure IoT Operations.
 
 :::image type="content" source="media/quickstart-add-assets/site-list.png" alt-text="Screenshot that shows the unassigned instances node in the Azure IoT Operations (preview) portal.":::
 

articles/iot-operations/manage-devices-assets/howto-manage-assets-remotely.md

@@ -45,7 +45,7 @@ To sign in to the Azure IoT Operations (preview) portal, navigate to the [Azure
 
 ## Select your site
 
-After you sign in, the portal displays a list of sites that you have access to. Each site is a collection of Azure IoT Operations instances where you can configure your assets. Your [IT administrator is responsible for organizing instances in to sites](https://aka.ms/sitedocs) and granting access to OT users in your organization. Instances that aren't part of a site appear in the **Unassigned instances** node. Select the site that you want to use:
+After you sign in, the portal displays a list of sites that you have access to. Each site is a collection of Azure IoT Operations instances where you can configure your assets. Your [IT administrator is responsible for organizing instances in to sites](../../azure-arc/site-manager/overview.md) and granting access to OT users in your organization. Instances that aren't part of a site appear in the **Unassigned instances** node. Select the site that you want to use:
 
 :::image type="content" source="media/howto-manage-assets-remotely/site-list.png" alt-text="Screenshot that shows a list of sites in the Azure IoT Operations (preview) portal.":::
 

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

@@ -125,8 +125,8 @@ To request an exception from the Azure Machine Learning product team, use the st
 
 | **Resource**&nbsp;&nbsp; | **Limit <sup>1</sup>** &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; | **Allows exception** | **Applies to** |
 | --- | ---- | --- | --- |
-| Endpoint name| Endpoint names must <li> Begin with a letter <li> Be 3-32 characters in length  <li> Only consist of letters and numbers <sup>2</sup> <li> For Kubernetes endpoint, the endpoint name plus deployment name must be 3-62 characters in total length | - | All types of endpoints <sup>3</sup> |
-| Deployment name| Deployment names must <li> Begin with a letter <li> Be 3-32 characters in length  <li>  Only consist of letters and numbers <sup>2</sup> <li> For Kubernetes endpoint, the endpoint name plus deployment name must be 3-62 characters in total length | - | All types of endpoints <sup>3</sup> |
+| Endpoint name| Endpoint names must <li> Begin with a letter <li> Be 3-32 characters in length  <li> Only consist of letters and numbers <sup>2</sup> <li> For Kubernetes endpoint, the endpoint name plus deployment name must be 6-62 characters in total length | - | All types of endpoints <sup>3</sup> |
+| Deployment name| Deployment names must <li> Begin with a letter <li> Be 3-32 characters in length  <li>  Only consist of letters and numbers <sup>2</sup> <li> For Kubernetes endpoint, the endpoint name plus deployment name must be 6-62 characters in total length | - | All types of endpoints <sup>3</sup> |
 | Number of endpoints per subscription | 100 | Yes | All types of endpoints <sup>3</sup> |
 | Number of endpoints per cluster | 60 | - | Kubernetes online endpoint |
 | Number of deployments per subscription | 500 | Yes | All types of endpoints <sup>3</sup>|