Merge pull request #283421 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: rmca14

articles/active-directory-b2c/tenant-management-check-tenant-creation-permission.md

@@ -42,7 +42,7 @@ As a *Global Administrator* in an Azure AD B2C tenant, you can restrict non-admi
 
 1. Under **Manage**, select **User Settings**.
 
-1. Under **Tenant creation**, select **Yes**. 
+1. Under **Default user role permissions**, for **Restrict non-admin users from creating tenants**, select **Yes**. 
 
 1. At the top of the **User Settings** page, select **Save**. 
 
@@ -58,7 +58,7 @@ Before you create an Azure AD B2C tenant, make sure that you've the permission t
 
 1. Under **Manage**, select **User Settings**.
 
-1. Review your **Tenant Creation** setting. If the settings is set to **No**, then contact your administrator to assign the tenant creator role to you. The setting is greyed out if you're not an administrator in the tenant.
+1.  Under **Default user role permissions**, review your **Restrict non-admin users from creating tenants** setting. If the setting is set to **No**, then contact your administrator to assign the tenant creator role to you. The setting is greyed out if you're not an administrator in the tenant.
 
 
 ## Next steps 

articles/ai-studio/how-to/deploy-models-openai.md

@@ -20,7 +20,7 @@ author: msakande
 
 In this article, you learn to create Azure OpenAI model deployments in Azure AI Studio.
 
-Azure OpenAI service offers a diverse set of models with different capabilities and price points. When you deploy Azure OpenAI models in Azure AI Studio, you can consume the deployments, using prompt flow or another tool. Model availability varies by region. To learn more about the details of each model see [Azure OpenAI Service models](../../ai-services/openai/concepts/models.md).
+Azure OpenAI Service offers a diverse set of models with different capabilities and price points. When you deploy Azure OpenAI models in Azure AI Studio, you can consume the deployments, using prompt flow or another tool. Model availability varies by region. To learn more about the details of each model see [Azure OpenAI Service models](../../ai-services/openai/concepts/models.md).
 
 To modify and interact with an Azure OpenAI model in the [Azure AI Studio](https://ai.azure.com) playground, first you need to deploy a base Azure OpenAI model to your project. Once the model is deployed and available in your project, you can consume its REST API endpoint as-is or customize further with your own data and other components (embeddings, indexes, and more).  
 

articles/event-hubs/event-hubs-faq.yml

@@ -194,6 +194,11 @@ sections:
         answer: |
           [!INCLUDE [event-hubs-partition-count](./includes/event-hubs-partition-count.md)]
           
+      - question: |  
+          Can partition count be increased in the Standard tier of Event Hubs?
+        answer: |
+          No, it's not possible because partitions are immutable in the Standard tier. Dynamic addition of partitions is available only in premium and dedicated tiers of Event Hubs.
+          
   - name: Pricing
     questions:
       - question: |

articles/load-balancer/upgrade-basic-standard-with-powershell.md

@@ -151,7 +151,7 @@ PS C:\> Start-AzBasicLoadBalancerUpgrade -ResourceGroupName <loadBalancerRGName>
 Validate a completed migration by passing the Basic Load Balancer state file backup and the Standard Load Balancer name
 
 ```powershell
-PS C:\> Start-AzBasicLoadBalancerUpgrade -validateCompletedMigration -basicLoadBalancerStatePath C:\RecoveryBackups\State_mybasiclb_rg-basiclbrg_20220912T1740032148.json
+PS C:\> Start-AzBasicLoadBalancerUpgrade -validateCompletedMigration -StandardLoadBalancerName <newStandardLBName> -basicLoadBalancerStatePath C:\RecoveryBackups\State_mybasiclb_rg-basiclbrg_20220912T1740032148.json
 ```
 
 ### Example: migrate multiple, related Load Balancers

articles/machine-learning/prompt-flow/how-to-monitor-generative-ai-applications.md

@@ -3,7 +3,7 @@ title: Model monitoring for generative AI applications (preview)
 titleSuffix: Azure Machine Learning
 description: Monitor the safety and quality of generative AI applications deployed to production on Azure Machine Learning.
 services: machine-learning
-author: buchananwp
+author: s-polly
 ms.author: scottpolly
 ms.service: azure-machine-learning
 ms.subservice: prompt-flow

articles/virtual-desktop/whats-new-insights.md

@@ -1,10 +1,10 @@
 ---
 title: What's new in Azure Virtual Desktop Insights?
 description: New features and product updates in Azure Virtual Desktop Insights.
-author: Heidilohr
+author: sipastak
 ms.topic: release-notes
 ms.date: 05/02/2024
-ms.author: helohr
+ms.author: sipastak
 ms.custom: references_regions
 ---
 # What's new in Azure Virtual Desktop Insights?
@@ -19,7 +19,7 @@ The following table shows the latest available version of Azure Virtual Desktop
 
 | Release | Latest version | Setup instructions |
 |---------|----------------|----------|
-| Public | 3.3.1 | [Use Azure Virtual Desktop Insights to monitor your deployment](insights.md) |
+| Public | 3.5.0 | [Use Azure Virtual Desktop Insights to monitor your deployment](insights.md) |
 
 ## How to read version numbers
 
@@ -35,6 +35,23 @@ For example, a release with a version number of 1.2.31 is on the first major rel
 
 When one of the numbers is increased, all numbers after it must change, too. One release has one version number. However, not all version numbers track releases. Patch numbers can be somewhat arbitrary, for example.
 
+## Version 3.5.0
+
+*Published: July 1, 2024*
+
+In this update, we made the following change:
+
+- Connection reliability tab now generally available.
+
+## Version 3.4.0
+
+*Published: May 13, 2024*
+
+In this update, we made the following changes:
+
+- Added HCI core count.
+- Updated reliability of users per core calculation.
+
 ## Version 3.3.1
 
 *Published: April 29, 2024*