Merge branch 'main' of https://github.com/MicrosoftDocs/azure-docs-pr into heidist-fix

Author: HeidiSteen

articles/ai-services/document-intelligence/concept-read.md

@@ -123,7 +123,7 @@ The pages collection is a list of pages within the document. Each page is repres
 | --- | --- | --- |
 |Images (JPEG/JPG, PNG, BMP, HEIF) | Each image = 1 page unit | Total images  |
 |PDF | Each page in the PDF = 1 page unit | Total pages in the PDF |
-|TIFF | Each image in the TIFF = 1 page unit | Total images in the PDF |
+|TIFF | Each image in the TIFF = 1 page unit | Total images in the TIFF |
 |Word (DOCX)  | Up to 3,000 characters = 1 page unit, embedded or linked images not supported | Total pages of up to 3,000 characters each |
 |Excel (XLSX)  | Each worksheet = 1 page unit, embedded or linked images not supported | Total worksheets |
 |PowerPoint (PPTX) |  Each slide = 1 page unit, embedded or linked images not supported | Total slides |

articles/ai-studio/how-to/configure-managed-network.md

@@ -322,6 +322,7 @@ The Azure AI managed VNet feature is free. However, you're charged for the follo
 
 ## Limitations
 
+* Azure AI Studio currently doesn't support bring your own virtual network, it only supports managed VNet isolation.
 * Azure AI services provisioned with Azure AI and Azure AI Search attached with Azure AI should be public.
 * The "Add your data" feature in the Azure AI Studio playground doesn't support private storage account.
 * Once you enable managed VNet isolation of your Azure AI, you can't disable it.

articles/ai-studio/how-to/create-manage-compute.md

@@ -66,9 +66,6 @@ To create a compute instance in Azure AI Studio:
     - **Assign a managed identity**: You can attach system assigned or user assigned managed identities to grant access to resources. The name of the created system managed identity will be in the format `/workspace-name/computes/compute-instance-name` in your Microsoft Entra ID.
     - **Enable SSH access**: Enter credentials for an administrator user account that will be created on each compute node. These can be used to SSH to the compute nodes.
 Note that disabling SSH prevents SSH access from the public internet. When a private virtual network is used, users can still SSH from within the virtual network.
-    - **Enable virtual network**:
-        - If you're using an Azure Virtual Network, specify the Resource group, Virtual network, and Subnet to create the compute instance inside an Azure Virtual Network. You can also select No public IP to prevent the creation of a public IP address, which requires a private link workspace. You must also satisfy these network requirements for virtual network setup.
-        - If you're using a managed virtual network, the compute instance is created inside the managed virtual network. You can also select No public IP to prevent the creation of a public IP address. For more information, see managed compute with a managed network.
 
 1. On the **Applications** page you can add custom applications to use on your compute instance, such as RStudio or Posit Workbench. Then select **Next**.
 1. On the **Tags** page you can add additional information to categorize the resources you create. Then select **Review + Create** or **Next** to review your settings.

articles/azure-monitor/containers/container-insights-logs-schema.md

@@ -61,6 +61,9 @@ You can enable the **ContainerLogV2** schema for a cluster either using the clus
 ## Multi-line logging in Container Insights
 With multiline logging enabled, previously split container logs are stitched together and sent as single entries to the ContainerLogV2 table. If the stitched log line is larger than 64 KB, it will be truncated due to Log Analytics workspace limits. This feature also has support for .NET, Go, Python and Java stack traces, which appear as single entries in the ContainerLogV2 table. Enable multiline logging with ConfigMap as described in [Configure data collection in Container insights using ConfigMap](container-insights-data-collection-configmap.md).
 
+>[!NOTE]
+> The configmap now features a language specification option, wherein the customers can select only the languages that they are interested in. This feature can be enabled by editing the languages in the stacktrace_languages option in the [configmap](https://github.com/microsoft/Docker-Provider/blob/ci_prod/kubernetes/container-azm-ms-agentconfig.yaml).
+
 The following screenshots show multi-line logging for Go exception stack trace:
 
 **Multi-line logging disabled**

articles/azure-netapp-files/manage-availability-zone-volume-placement.md

@@ -126,6 +126,7 @@ If you're using a custom RBAC role or the [built-in Contributor role](../role-ba
 * `Microsoft.NetApp/locations/{location}/quotaLimits`
 * `Microsoft.NetApp/locations/{location}/quotaLimits/{quotaLimitName}`
 * `Microsoft.NetApp/locations/{location}/regionInfo`
+* `Microsoft.NetApp/locations/{location}/regionInfos`
 * `Microsoft.NetApp/locations/{location}/queryNetworkSiblingSet`
 * `Microsoft.NetApp/locations/{location}/updateNetworkSiblingSet`
 

articles/data-factory/control-flow-until-activity.md

@@ -15,22 +15,22 @@ ms.custom: devx-track-azurepowershell, synapse
 # Until activity in Azure Data Factory and Synapse Analytics
 [!INCLUDE[appliesto-adf-asa-md](includes/appliesto-adf-asa-md.md)]
 
-The Until activity provides the same functionality that a do-until looping structure provides in programming languages. It executes a set of activities in a loop until the condition associated with the activity evaluates to true. If an inner activity fails, the Until activity does not stop. You can specify a timeout value for the until activity. 
+The Until activity provides the same functionality that a do-until looping structure provides in programming languages. It executes a set of activities in a loop until the condition associated with the activity evaluates to true. If an inner activity fails, the Until activity doesn't stop. You can specify a timeout value for the until activity. 
 
 ## Create an Until activity with UI
 
 To use an Until activity in a pipeline, complete the following steps:
 
-1. Search for _Until_ in the pipeline Activities pane, and drag a Until activity to the pipeline canvas.  
-1. Select the Until activity on the canvas if it is not already selected, and its  **Settings** tab, to edit its details.
+1. Search for _Until_ in the pipeline Activities pane, and drag a Until activity to the pipeline canvas. 
+1. Select the Until activity on the canvas if it isn't already selected, and its  **Settings** tab, to edit its details.
 
    :::image type="content" source="media/control-flow-until-activity/until-activity.png" alt-text="Shows the Settings tab of the Until activity in the pipeline canvas.":::
 
-1. Enter an expression that will be evaluated after all child activities defined in the Until activity are executed.  If the expression evaluates to false, the Until activity will execute all its child activities again.  When it evaluates to true, the Until activity will complete.  The expression can be a literal string expression, or any combination of dynamic [expressions, functions](control-flow-expression-language-functions.md), [system variables](control-flow-system-variables.md), or [outputs from other activities](how-to-expression-language-functions.md#examples-of-using-parameters-in-expressions).  The example below checks the value of a previously defined pipeline array variable called TestVariable to see if it evaluates to ['done'].
+1. Enter an expression that will be evaluated after all child activities defined in the Until activity is executed. If the expression evaluates to false, the Until activity executes all its child activities again. When it evaluates to true, the Until activity completes. The expression can be a literal string expression, or any combination of dynamic [expressions, functions](control-flow-expression-language-functions.md), [system variables](control-flow-system-variables.md), or [outputs from other activities](how-to-expression-language-functions.md#examples-of-using-parameters-in-expressions). The example below checks the value of a previously defined pipeline array variable called TestVariable to see if it evaluates to ['done'].
 
    :::image type="content" source="media/control-flow-until-activity/dynamic-content-to-check-variable-value.png" alt-text="Shows the  Add dynamic content  pane with an expression to check a variable for a defined value.":::
 
-1. Define activities that the Until activity will execute by selecting the Edit Activities button on the Until activity directly, or by selecting the Activities tab to select it there.  A new activities editor pane will be displayed where you can add any activities for the Until activity to execute.  In this example, a Set Variable activity simply sets the value of the variable referenced in the expression above to ['done'], so the Until activity's expression will be true the first time it is executed, and the Until activity will stop.  In your real-world use, you can check any conditions required and the Until activity will continue to execute its child activities each time the expression is evaluated, until the conditions are met.
+2. Define activities that the Until activity executes by selecting the Edit Activities button on the Until activity directly, or by selecting the Activities tab to select it there. A new activities editor pane is displayed where you can add any activities for the Until activity to execute. In this example, a Set Variable activity simply sets the value of the variable referenced in the aforementioned expression to ['done'], so the Until activity's expression will be true the first time it's executed, and the Until activity will stop. In your real-world use, you can check any conditions required and the Until activity will continue to execute its child activities each time the expression is evaluated, until the conditions are met.
 
    :::image type="content" source="media/control-flow-until-activity/child-activities-editor.png" alt-text="Shows the activities editor for an Until activity with a Set Variable activity defined.":::
 
@@ -44,7 +44,7 @@ To use an Until activity in a pipeline, complete the following steps:
             "value":  "<expression that evaluates to true or false>", 
             "type": "Expression"
         },
-        "timeout": "<time out for the loop. for example: 00:01:00 (1 minute)>",
+        "timeout": "<time out for the loop. for example: 00:10:00 (10 minute)>",
         "activities": [
             {
                 "<Activity 1 definition>"
@@ -68,8 +68,8 @@ Property | Description | Allowed values | Required
 -------- | ----------- | -------------- | --------
 name | Name of the `Until` activity. | String | Yes
 type | Must be set to **Until**. | String | Yes
-expression | Expression that must evaluate to true or false | Expression.  | Yes
-timeout | The do-until loop times out after the specified time here. | String. `d.hh:mm:ss` (or) `hh:mm:ss`. The default value is 7 days. Maximum value is: 90 days. | No
+expression | Expression that must evaluate to true or false | Expression. | Yes
+timeout | The do-until loop times out after the specified time here. | String. `d.hh:mm:ss` (or) `hh:mm:ss`. The default value is seven days. Maximum value is: 90 days. | No
 Activities | Set of activities that are executed until expression evaluates to `true`. | Array of activities. |  Yes
 
 ## Example 1
@@ -92,7 +92,7 @@ In this example, the pipeline has two activities: **Until** and **Wait**. The Wa
                         "value": "@equals('Failed', coalesce(body('MyUnauthenticatedActivity')?.status, actions('MyUnauthenticatedActivity')?.status, 'null'))",
                         "type": "Expression"
                     },
-                    "timeout": "00:00:01",
+                    "timeout": "00:10:00",
                     "activities": [
                         {
                             "name": "MyUnauthenticatedActivity",
@@ -129,7 +129,7 @@ In this example, the pipeline has two activities: **Until** and **Wait**. The Wa
 ```
 
 ## Example 2 
-The pipeline in this sample copies data from an input folder to an output folder in a loop. The loop terminates when the value for the repeat parameter is set to false or it times out after one minute.   
+The pipeline in this sample copies data from an input folder to an output folder in a loop. The loop terminates when the value for the repeat parameter is set to false or it times out after one minute.  
 
 ### Pipeline with Until activity (Adfv2QuickStartPipeline.json)
 
@@ -145,7 +145,7 @@ The pipeline in this sample copies data from an input folder to an output folder
                         "value":  "@equals('false', pipeline().parameters.repeat)", 
                         "type": "Expression"
                     },
-                    "timeout": "00:01:00",
+                    "timeout": "00:10:00",
                     "activities": [
                         {
                             "name": "CopyFromBlobToBlob",

articles/data-factory/control-flow-wait-activity.md

@@ -68,7 +68,7 @@ In this example, the pipeline has two activities: **Until** and **Wait**. The Wa
                         "value": "@equals('Failed', coalesce(body('MyUnauthenticatedActivity')?.status, actions('MyUnauthenticatedActivity')?.status, 'null'))",
                         "type": "Expression"
                     },
-                    "timeout": "00:00:01",
+                    "timeout": "00:10:00",
                     "activities": [
                         {
                             "name": "MyUnauthenticatedActivity",

articles/data-factory/control-flow-webhook-activity.md

@@ -49,7 +49,7 @@ To use a Webhook activity in a pipeline, complete the following steps:
         "body": {
             "key": "value"
         },
-        "timeout": "00:03:00",
+        "timeout": "00:10:00",
         "reportStatusOnCallBack": false,
         "authentication": {
             "type": "ClientCertificate",

articles/data-manager-for-agri/concepts-llm-apis.md

@@ -24,7 +24,7 @@ Our LLM capability enables seamless selection of APIs mapped to farm operations
 
 ## Prerequisites
 - An instance of [Azure Data Manager for Agriculture](quickstart-install-data-manager-for-agriculture.md)
-- An instance of [Azure Open AI](../ai-services/openai/how-to/create-resource.md) created in your Azure subscription.
+- An instance of [Azure OpenAI](../ai-services/openai/how-to/create-resource.md) created in your Azure subscription.
 - You need [Azure Key Vault](../key-vault/general/quick-create-portal.md)
 - You need [Azure Container Registry](../container-registry/container-registry-get-started-portal.md)
 
@@ -59,4 +59,4 @@ These use cases help input providers to plan equipment, seeds, applications and
 ## Next steps
 
 * Fill this onboarding [**form**](https://forms.office.com/r/W4X381q2rd) to get started with testing our LLM feature.
-* View our Azure Data Manager for Agriculture APIs [here](/rest/api/data-manager-for-agri).
+* View our Azure Data Manager for Agriculture APIs [here](/rest/api/data-manager-for-agri).