Merge pull request #281546 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: Taojunshen

articles/ai-services/content-safety/how-to/custom-categories-rapid.md

@@ -53,8 +53,8 @@ curl --location --request PATCH 'https://<endpoint>/contentsafety/text/incidents
 --header 'Ocp-Apim-Subscription-Key: <your-content-safety-key>' \
 --header 'Content-Type: application/json' \
 --data '{
-  "incidentName": "<text-incident-name>",
-  "incidentDefinition": "string"
+  \"incidentName\": \"<text-incident-name>\",
+  \"incidentDefinition\": \"string\"
 }'
 ```
 
@@ -248,7 +248,7 @@ curl --location --request PATCH 'https://<endpoint>/contentsafety/image/incident
 --header 'Ocp-Apim-Subscription-Key: <your-content-safety-key>' \
 --header 'Content-Type: application/json' \
 --data '{
-  "incidentName": "<image-incident-name>"
+  \"incidentName\": \"<image-incident-name>\"
 }'
 ```
 

articles/defender-for-cloud/gain-end-user-context-ai.md

@@ -32,7 +32,7 @@ If a field’s name is misspelled, the Azure OpenAI API call will still succeed.
 
 The provided schema consists of the `SecurityContext` objects that contains several parameters that describe the application itself, and the end user that interacts with the application. These fields assist your security operations teams to investigate and mitigate security incidents by providing a comprehensive approach to protecting your AI applications.
 
-- End used ID
+- End user ID
 - End user type
 - End user tenant's ID
 - Source IP address.

articles/machine-learning/prompt-flow/how-to-deploy-for-real-time-inference.md

@@ -46,7 +46,7 @@ In this article, you'll learn how to deploy a flow as a managed online endpoint
 - Have basic understanding on managed identities. [Learn more about managed identities.](../../active-directory/managed-identities-azure-resources/overview.md)
 
 > [!NOTE]
-> Managed online endpoint only supports managed virtual network. If your workspace is in custom vnet, you need to try other deployment options, such as deploy to [Kubernetes online endpoint using CLI/SDK](./how-to-deploy-to-code.md), or [deploy to other platforms suchs Docker](https://microsoft.github.io/promptflow/how-to-guides/deploy-a-flow/index.html).
+> Managed online endpoint only supports managed virtual network. If your workspace is in custom vnet, you need to try other deployment options, such as deploy to [Kubernetes online endpoint using CLI/SDK](./how-to-deploy-to-code.md), or [deploy to other platforms such as Docker](https://microsoft.github.io/promptflow/how-to-guides/deploy-a-flow/index.html).
 
 ## Build the flow and get it ready for deployment
 

articles/machine-learning/prompt-flow/how-to-deploy-to-code.md

@@ -36,7 +36,7 @@ Before beginning make sure that you have tested your flow properly, and feel con
 - Azure role-based access controls (Azure RBAC) are used to grant access to operations in Azure Machine Learning. To perform the steps in this article, your user account must be assigned the owner or contributor role for the Azure Machine Learning workspace, or a custom role allowing "Microsoft.MachineLearningServices/workspaces/onlineEndpoints/". If you use studio to create/manage online endpoints/deployments, you'll need an additional permission "Microsoft.Resources/deployments/write" from the resource group owner. For more information, see [Manage access to an Azure Machine Learning workspace](../how-to-assign-roles.md).
 
 > [!NOTE]
-> Managed online endpoint only supports managed virtual network. If your workspace is in custom vnet, you can deploy to Kubernetes online endpoint, or [deploy to other platforms suchs Docker](https://microsoft.github.io/promptflow/how-to-guides/deploy-a-flow/index.html).
+> Managed online endpoint only supports managed virtual network. If your workspace is in custom vnet, you can deploy to Kubernetes online endpoint, or [deploy to other platforms such as Docker](https://microsoft.github.io/promptflow/how-to-guides/deploy-a-flow/index.html).
 
 ### Virtual machine quota allocation for deployment
 

articles/machine-learning/prompt-flow/how-to-evaluate-semantic-kernel.md

@@ -179,11 +179,8 @@ This will present you with a detailed table, line-by-line comparison of the resu
 > Follow along with our documentations to get started!
 > And keep an eye out for more integrations.
 
-If you’re interested in learning more about how you can use prompt flow to test and evaluate Semantic Kernel, we recommend following along to the articles we created. At each step, we provide sample code and explanations so you can use prompt flow successfully with Semantic Kernel.
+If you're interested in learning more about how you can use Planners in Semantic Kernel, we recommend that you read the following article:
 
-* [Using prompt flow with Semantic Kernel](/semantic-kernel/ai-orchestration/planners/evaluate-and-deploy-planners/)
-* [Create a prompt flow with Semantic Kernel](/semantic-kernel/ai-orchestration/planners/evaluate-and-deploy-planners/create-a-prompt-flow-with-semantic-kernel)
-* [Running batches with prompt flow](/semantic-kernel/ai-orchestration/planners/evaluate-and-deploy-planners/running-batches-with-prompt-flow)
-* [Evaluate your plugins and planners](/semantic-kernel/ai-orchestration/planners/evaluate-and-deploy-planners/)
+* [Learn more about planners](/semantic-kernel/ai-orchestration/planners/evaluate-and-deploy-planners/)
 
 When your planner is fully prepared, it can be deployed as an online endpoint in Azure Machine Learning. This allows it to be easily integrated into your application for consumption. Learn more about how to [deploy a flow as a managed online endpoint for real-time inference](./how-to-deploy-for-real-time-inference.md).

articles/storage/common/storage-use-azcopy-migrate-on-premises-data.md

@@ -117,7 +117,7 @@ Copy the AzCopy command to a text editor. Update the parameter values of the AzC
 These examples assume that your folder is named `myFolder`, your storage account name is `mystorageaccount` and your container name is `mycontainer`.
 
 > [!NOTE]
-> The Linux example appends a SAS token. You'll need to provide one in your command. The current version of AzCopy V10 doesn't support Microsoft Entra authorization in cron jobs.
+> The Linux example appends a SAS token. You'll need to provide one in your command. To utilize Microsoft Entra authentication in cron jobs, ensure you configure the AZCOPY_AUTO_LOGIN_TYPE environment variable appropriately.
 
 # [Linux](#tab/linux)