Merge pull request #277627 from deeikele/main

Note on project storage connection initialization

Author: prmerger-automator[bot]

articles/ai-studio/how-to/create-projects.md

@@ -103,9 +103,28 @@ To view settings for the project, use the `az ml workspace show` command. For ex
 az ml workspace show --name {my_project_name} --resource-group {my_resource_group}
 ```
 
-
 ---
 
+## Project resource access
+
+Common configurations on the hub are shared with your project, including connections, compute instances, and network access, so you can start developing right away.
+
+In addition, a number of resources are only accessible by users in your project workspace:
+
+1. Components including datasets, flows, indexes, deployed model API endpoints (open and serverless).
+1. Connections created by you under 'project settings'.
+1. Azure Storage blob containers, and a fileshare for data upload within your project. Access storage using the following connections:
+   
+   | Data connection | Storage location | Purpose |
+   | --- | --- | --- |
+   | workspaceblobstore | {project-GUID}-blobstore | Default container for data upload |
+   | workspaceartifactstore | {project-GUID}-blobstore | Stores components and metadata for your project such as model weights |
+   | workspacefilestore | {project-GUID}-code | Hosts files created on your compute and using prompt flow |
+
+> [!NOTE]
+> Storage connections are not created directly with the project when your storage account has public network access set to disabled. These are created instead when a first user accesses AI studio over a private network connection.
+
+
 ## Next steps
 
 - [Deploy an enterprise chat web app](../tutorials/deploy-chat-web-app.md)