acrolinx update

Author: aahill

articles/ai-services/language-service/question-answering/how-to/network-isolation.md

@@ -5,13 +5,13 @@ ms.service: azure-ai-language
 ms.topic: how-to
 author: laujan
 ms.author: lajanuar
-ms.date: 11/21/2024
+ms.date: 06/06/2025
 ms.custom: language-service-question-answering
 ---
 
 #  Network isolation and private endpoints
 
-The steps below describe how to restrict public access to custom question answering resources as well as how to enable Azure Private Link. Protect an AI Foundry resource from public access by [configuring the virtual network](../../../cognitive-services-virtual-networks.md?tabs=portal).
+The following steps describe how to restrict public access to custom question answering resources as well as how to enable Azure Private Link. Protect an AI Foundry resource from public access by [configuring the virtual network](../../../cognitive-services-virtual-networks.md?tabs=portal).
 
 ## Private Endpoints
 
@@ -21,12 +21,12 @@ Private endpoints are provided by [Azure Private Link](/azure/private-link/priva
 
 ## Steps to enable private endpoint
 
-1. Assign *Contributor* role to language resource (Depending on the context this may appear as a Text Analytics resource) in the Azure Search Service instance. This operation requires *Owner* access to the subscription. Go to Identity tab in the service resource to get the identity.
+1. Assign the *contributor* role to your resource in the Azure Search Service instance. This operation requires *Owner* access to the subscription. Go to Identity tab in the service resource to get the identity.
 
 > [!div class="mx-imgBorder"]
 > ![Text Analytics Identity](../../../QnAMaker/media/qnamaker-reference-private-endpoints/private-endpoints-identity.png)
 
-2. Add the above identity as *Contributor* by going to Azure Search Service IAM tab.
+2. Add the above identity as *Contributor* by going to the Azure Search Service access control tab.
 
 ![Managed service IAM](../../../QnAMaker/media/qnamaker-reference-private-endpoints/private-endpoint-access-control.png)
 
@@ -54,9 +54,9 @@ This will establish a private endpoint connection between language resource and
 
 ## Restrict access to Azure AI Search resource
 
-Follow the steps below to restrict public access to custom question answering language resources. Protect an AI Foundry resource from public access by [configuring the virtual network](../../../cognitive-services-virtual-networks.md?tabs=portal).
+Follow these steps to restrict public access to custom question answering language resources. Protect an AI Foundry resource from public access by [configuring the virtual network](../../../cognitive-services-virtual-networks.md?tabs=portal).
 
-After restricting access to an AI Foundry resource based on VNet, To browse projects on Language Studio from your on-premises network or your local browser.
+After you restrict access to an AI Foundry resource based on virtual network, to browse projects on Language Studio from your on-premises network or your local browser:
 - Grant access to [on-premises network](../../../cognitive-services-virtual-networks.md?tabs=portal#configure-access-from-on-premises-networks).
 - Grant access to your [local browser/machine](../../../cognitive-services-virtual-networks.md?tabs=portal#managing-ip-network-rules).
 - Add the **public IP address of the machine  under the Firewall** section of the **Networking** tab. By default `portal.azure.com` shows the current browsing machine's public IP (select this entry) and then select **Save**.