Merge pull request #253376 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: v-alje

articles/active-directory/hybrid/connect/reference-connect-sync-functions-reference.md

@@ -710,7 +710,7 @@ Returns the position where the substring was found or 0 if not found.
 
 **Example:**  
 `InStr("The quick brown fox","quick")`  
-Evalues to 5
+Evaluates to 5
 
 `InStr("repEated","e",3,vbBinaryCompare)`  
 Evaluates to 7

articles/azure-vmware/request-host-quota-azure-vmware-solution.md

@@ -35,13 +35,14 @@ You'll need an Azure account in an Azure subscription that adheres to one of the
    - **Service:** All services > Azure VMware Solution
    - **Resource:** General question 
    - **Summary:** Need capacity
-   - **Problem type:** Capacity Management Issues
-   - **Problem subtype:** Customer Request for Additional Host Quota/Capacity
+   - **Problem type:** Deployment
+   - **Problem subtype:** AVS Quota request
 
 1. In the **Description** of the support ticket, on the **Details** tab, provide information for:
 
    - Region Name
    - Number of hosts
+   - Host SKU type
    - Any other details, including Availability Zone requirements for integrating with other Azure services (e.g. Azure NetApp Files, Azure Blob Storage)
 
    >[!NOTE]

articles/machine-learning/prompt-flow/how-to-end-to-end-llmops-with-prompt-flow.md

@@ -108,7 +108,7 @@ Before you can set up a Prompt flow project with Azure Machine Learning, you nee
 
     :::image type="content" source="./media/how-to-end-to-end-llmops-with-prompt-flow/github-settings.png" alt-text="Screenshot of the GitHub menu bar on a GitHub project with settings selected. " lightbox = "./media/how-to-end-to-end-llmops-with-prompt-flow/github-settings.png":::
 
-1. Then select **Secrets**, then **Actions**:
+1. Then select **Secrets and variables**, then **Actions**:
 
     :::image type="content" source="./media/how-to-end-to-end-llmops-with-prompt-flow/github-secrets.png" alt-text="Screenshot of on GitHub showing the security settings with security and actions highlighted." lightbox = "./media/how-to-end-to-end-llmops-with-prompt-flow/github-secrets.png":::
 

articles/static-web-apps/build-configuration.md

@@ -222,6 +222,7 @@ inputs:
 ```
 
 ---
+
 ## Skip building the API
 
 If you want to skip building the API, you can bypass the automatic build and deploy the API built in a previous step.
@@ -304,6 +305,44 @@ inputs:
 
 ---
 
+## Run workflow without deployment secrets
+
+Sometimes you need your workflow to continue to process even when some secrets are missing. Set the `SKIP_DEPLOY_ON_MISSING_SECRETS` environment variable to `true` to configure your workflow to proceed without defined secrets.
+
+When enabled, this feature allows the workflow to continue without deploying the site's content.
+
+# [GitHub Actions](#tab/github-actions)
+
+```yaml
+...
+
+with:
+  azure_static_web_apps_api_token: ${{ secrets.AZURE_STATIC_WEB_APPS_API_TOKEN }}
+  repo_token: ${{ secrets.GITHUB_TOKEN }}
+  action: 'upload'
+  app_location: 'src'
+  api_location: 'api'
+  output_location: 'public'
+env:
+  SKIP_DEPLOY_ON_MISSING_SECRETS: true
+```
+
+# [Azure Pipelines](#tab/azure-devops)
+
+```yaml
+...
+
+inputs:
+  app_location: 'src'
+  api_location: 'api'
+  output_location: 'public'
+  azure_static_web_apps_api_token: $(deployment_token)
+env:
+  SKIP_DEPLOY_ON_MISSING_SECRETS: true
+```
+
+---
+
 ## Environment variables
 
 You can set environment variables for your build via the `env` section of a job's configuration.

articles/storage/blobs/anonymous-read-access-overview.md

@@ -29,6 +29,8 @@ To remediate anonymous access, first determine whether your storage account uses
 
 If your storage account is using the Azure Resource Manager deployment model, then you can remediate anonymous access for an account at any time by setting the account's **AllowBlobPublicAccess** property to **False**. After you set the **AllowBlobPublicAccess** property to **False**, all requests for blob data to that storage account will require authorization, regardless of the anonymous access setting for any individual container.
 
+If your storage account is using the Azure Resource Manager deployment model, then you can remediate anonymous access for an account at any time by setting the account's **AllowBlobAnonymousAccess** property to **False**. After you set the **AllowBlobAnonymousAccess** property to **False**, all requests for blob data to that storage account will require authorization, regardless of the anonymous access setting for any individual container.
+
 To learn more about how to remediate anonymous access for Azure Resource Manager accounts, see [Remediate anonymous read access to blob data (Azure Resource Manager deployments)](anonymous-read-access-prevent.md).
 
 ### Classic accounts

articles/storage/blobs/immutable-storage-overview.md

@@ -156,6 +156,8 @@ If you fail to pay your bill and your account has an active time-based retention
 
 ## Feature support
 
+This feature is incompatible with Point in Time Restore and Last Access Tracking. 
+
 [!INCLUDE [Blob Storage feature support in Azure Storage accounts](../../../includes/azure-storage-feature-support.md)]
 
 ## Next steps

articles/storage/common/storage-ref-azcopy-configuration-settings.md

@@ -32,7 +32,7 @@ The following table describes each environment variable and provides links to co
 | AZCOPY_CONCURRENCY_VALUE | Specifies the number of concurrent requests that can occur. You can use this variable to increase throughput. If your computer has fewer than 5 CPUs, then the value of this variable is set to `32`. Otherwise, the default value is equal to 16 multiplied by the number of CPUs. The maximum default value of this variable is `3000`, but you can manually set this value higher or lower. See [Increase concurrency](storage-use-azcopy-optimize.md#increase-concurrency) |
 | AZCOPY_CONCURRENT_FILES | Overrides the (approximate) number of files that are in progress at any one time, by controlling how many files we concurrently initiate transfers for. |
 | AZCOPY_CONCURRENT_SCAN | Controls the (max) degree of parallelism used during scanning. Only affects parallelized enumerators, which include Azure Files/Blobs, and local file systems. |
-| AZCOPY_CONTENT_TYPE_MAP  | Overrides one or more of the default MIME type mappings defined by your operating system. Set this variable to the path of a JSON file that defines any mapping.  Here's the contents of an example JSON file: <br><br> {<br>&nbsp;&nbsp;"MIMETypeMapping": { <br>&nbsp;&nbsp;&nbsp;&nbsp;".323": "text/h323",<br>&nbsp;&nbsp;&nbsp;&nbsp;".aaf": "application/octet-stream",<br>&nbsp;&nbsp;&nbsp; ".aca": "application/octet-stream",<br>&nbsp;&nbsp;&nbsp;&nbsp;".accdb": "application/msaccess",<br>&nbsp;&nbsp;&nbsp;&nbsp;  }<br>}
+| AZCOPY_CONTENT_TYPE_MAP  | Overrides one or more of the default MIME type mappings defined by your operating system. Set this variable to the path of a JSON file that defines any mapping.  Here's the contents of an example JSON file: <br><br> {<br>&nbsp;&nbsp;"MIMETypeMapping": { <br>&nbsp;&nbsp;&nbsp;&nbsp;".323": "text/h323",<br>&nbsp;&nbsp;&nbsp;&nbsp;".aaf": "application/octet-stream",<br>&nbsp;&nbsp;&nbsp; ".aca": "application/octet-stream",<br>&nbsp;&nbsp;&nbsp;&nbsp;".accdb": "application/msaccess"<br>&nbsp;&nbsp;&nbsp;&nbsp;  }<br>}
 |
 | AZCOPY_DEFAULT_SERVICE_API_VERSION | Overrides the service API version so that AzCopy could accommodate custom environments such as Azure Stack. |
 | AZCOPY_DISABLE_HIERARCHICAL_SCAN | Applies only when Azure Blobs is the source. Concurrent scanning is faster but employs the hierarchical listing API, which can result in more IOs/cost. Specify 'true' to sacrifice performance but save on cost. |

articles/synapse-analytics/machine-learning/tutorial-horovod-pytorch.md

@@ -1,5 +1,5 @@
 ---
-title: 'Tutorial: Distributed training with Horovod and Pytorch'
+title: 'Tutorial: Distributed training with Horovod and PyTorch'
 description: Tutorial on how to run distributed training with the Horovod Estimator and PyTorch
 ms.service: synapse-analytics 
 ms.subservice: machine-learning
@@ -251,4 +251,4 @@ To ensure the Spark instance is shut down, end any connected sessions(notebooks)
 ## Next steps
 
 * [Check out Synapse sample notebooks](https://github.com/Azure-Samples/Synapse/tree/main/MachineLearning)
-* [Learn more about GPU-enabled Apache Spark pools](../spark/apache-spark-gpu-concept.md)
+* [Learn more about GPU-enabled Apache Spark pools](../spark/apache-spark-gpu-concept.md)