Merge pull request #3564 from MicrosoftDocs/repo_sync_working_branch

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

Author: Taojunshen

articles/ai-services/openai/how-to/monitor-openai.md

@@ -15,7 +15,12 @@ ms.service: azure-ai-openai
 
 ## Dashboards
 
-Azure OpenAI provides out-of-box dashboards for each of your Azure OpenAI resources. To access the monitoring dashboards sign-in to [https://portal.azure.com](https://portal.azure.com) and select the overview pane for one of your Azure OpenAI resources.
+Azure OpenAI provides out-of-box dashboards for each of your Azure OpenAI resources. There are two key dashboards to monitor your resource: 
+
+- The metrics dashboard in the AI Foundry Azure OpenAI resource view 
+- The dashboard in the overview pane within the Azure portal 
+
+To access the monitoring dashboards, sign in to the [Azure portal](https://portal.azure.com) and then select the overview pane for one of your Azure OpenAI resources. To see the AI Foundry metrics dashboard from the Azure portal, select the overview pane and **Go to Azure AI Foundry portal**. Under tools, select the metrics dashboard.   
 
 :::image type="content" source="../media/monitoring/dashboard.png" alt-text="Screenshot that shows out-of-box dashboards for an Azure OpenAI resource in the Azure portal." lightbox="../media/monitoring/dashboard.png" border="false":::
 

articles/machine-learning/azure-machine-learning-release-notes-cli-v2.md

@@ -24,7 +24,7 @@ In this article, learn about Azure Machine Learning CLI (v2) releases.
 __RSS feed__: Get notified when this page is updated by copying and pasting the following URL into your feed reader:
 `https://learn.microsoft.com/api/search/rss?search=%22Azure+machine+learning+release+notes-v2%22&locale=en-us`
 
-## 2025-03-12
+## 2025-03-14
 
 ## Azure Machine Learning CLI (v2) v 2.36.0
 - `az ml compute update`

articles/machine-learning/how-to-network-isolation-planning.md

@@ -127,8 +127,8 @@ To make the right decision on which networking set-up works best for your scenar
 
 | | Managed network (recommended) | Custom network |
 | --- | --- | --- |
-| __Benefits__ | - Minimize set-up and maintenance overhead. </br>- Supports managed online endpoints. </br>- Supports serverless spark. </br>- Access to HTTPs endpoint resources located on-premises or in your custom virtual network. </br>- Focus for new feature development. | - Customize network to your requirements. </br>- Bring your own non-Azure resources. </br>- Connect to on-premises resources. |
-| __Limitations__ | - Extra costs for Azure Firewall and FQDN rules. </br>- Logging of the virtual network firewall and NSG rules isn't supported. </br>- Access to non-HTTPs endpoint resources isn't supported. | - New feature support might be delayed. </br>-Managed online endpoints aren't supported. </br>- Serverless spark isn't supported. </br>- Foundational models aren't supported. </br>- No code MLFlow isn't supported. </br>- Implementation complexity. </br>- Maintenance overhead. |
+| __Benefits__ | - Minimize set-up and maintenance overhead. </br>- Supports managed online endpoints. </br>- Supports serverless spark. </br>- Access to HTTPS endpoint resources located on-premises or in your custom virtual network. </br>- Focus for new feature development. | - Customize network to your requirements. </br>- Bring your own non-Azure resources. </br>- Connect to on-premises resources. |
+| __Limitations__ | - Extra costs for Azure Firewall and FQDN rules. </br>- Logging of the virtual network firewall and NSG rules isn't supported. </br>- Access to non-HTTPS endpoint resources isn't supported. | - New feature support might be delayed. </br>-Managed online endpoints aren't supported. </br>- Serverless spark isn't supported. </br>- Foundational models aren't supported. </br>- No code MLFlow isn't supported. </br>- Implementation complexity. </br>- Maintenance overhead. |
 
 ### Use a public workspace
 

articles/machine-learning/includes/machine-learning-online-endpoint-troubleshooting.md

@@ -111,7 +111,7 @@ dig endpointname.westcentralus.inference.ml.azure.com
    "Swagger not found"
    ```
 
-1. If curl HTTPs fails or times out but HTTP works, check whether the certificate is valid.
+1. If curl HTTPS fails or times out but HTTP works, check whether the certificate is valid.
 
 1. If the preceding process fails to resolve to the A record, verify if the resolution works from Azure DNS (168.63.129.16).