Merge pull request #285218 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/quickstart-groundedness.md

@@ -69,8 +69,9 @@ Create a new Python file named _quickstart.py_. Open the new file in your prefer
     ```Python
     import http.client
     import json
-    
-    conn = http.client.HTTPSConnection("<endpoint>/contentsafety/text:detectGroundedness?api-version=2024-02-15-preview")
+
+    endpoint = "<your_custom_subdomain>.cognitiveservices.azure.com"
+    conn = http.client.HTTPSConnection(endpoint)
     payload = json.dumps({
       "domain": "Generic",
       "task": "QnA",

articles/ai-services/openai/concepts/content-credentials.md

@@ -12,7 +12,7 @@ manager: nitinme
 
 # Content Credentials
 
-With the improved quality of content from generative AI models, there is an increased need for more transparency on the origin of AI-generated content. All AI-generated images from the Azure OpenAI service now include Content Credentials, a tamper-evident way to disclose the origin and history of content. Content Credentials are based on an open technical specification from the [Coalition for Content Provenance and Authenticity (C2PA)](https://www.c2pa.org), a Joint Development Foundation project. 
+With the improved quality of content from generative AI models, there is an increased need for more transparency on the origin of AI-generated content. All AI-generated images from Azure OpenAI Service now include Content Credentials, a tamper-evident way to disclose the origin and history of content. Content Credentials are based on an open technical specification from the [Coalition for Content Provenance and Authenticity (C2PA)](https://www.c2pa.org), a Joint Development Foundation project. 
 
 ## What are Content Credentials? 
 
@@ -23,11 +23,11 @@ The manifest contains several key pieces of information:
 | Field name | Field content |
 | ---| ---|
 | `"description"` | This field has a value of `"AI Generated Image"` for all DALL-E model generated images, attesting to the AI-generated nature of the image. |
-| `"softwareAgent"` | This field has a value of `"Azure OpenAI DALL-E"` for all images generated by DALL-E series models in the Azure OpenAI service. |
+| `"softwareAgent"` | This field has a value of `"Azure OpenAI DALL-E"` for all images generated by DALL-E series models in Azure OpenAI Service. |
 |`"when"` |The timestamp of when the Content Credentials were created. | 
 
 
-Content Credentials in the Azure OpenAI Service can help people understand when visual content is AI-generated. For more information on how to responsibly build solutions with Azure OpenAI service image-generation models, visit the [Azure OpenAI transparency note](/legal/cognitive-services/openai/transparency-note?tabs=text).
+Content Credentials in the Azure OpenAI Service can help people understand when visual content is AI-generated. For more information on how to responsibly build solutions with Azure OpenAI Service image-generation models, visit the [Azure OpenAI transparency note](/legal/cognitive-services/openai/transparency-note?tabs=text).
 
 ## How do I leverage Content Credentials in my solution today?
 

articles/ai-services/openai/includes/use-your-data-dotnet.md

@@ -19,6 +19,8 @@ From the project directory, open the *Program.cs* file and replace its contents
 ```csharp
 using Azure;
 using Azure.AI.OpenAI;
+using Azure.AI.OpenAI.Chat;
+using OpenAI.Chat;
 using System.Text.Json;
 using static System.Environment;
 

articles/container-apps/sessions-custom-container.md

@@ -70,7 +70,8 @@ az containerapp sessionpool create \
     --network-status EgressDisabled \
     --max-sessions 10 \
     --ready-sessions 5 \
-    --env-vars "key1=value1" "key2=value2"
+    --env-vars "key1=value1" "key2=value2" \
+    --location <LOCATION>
 ```
 
 This command creates a session pool with the following settings:
@@ -93,6 +94,7 @@ This command creates a session pool with the following settings:
 | `--max-sessions` | `10` | The maximum number of sessions that can be allocated at the same time. |
 | `--ready-sessions` | `5` | The target number of sessions that are ready in the session pool all the time. Increase this number if sessions are allocated faster than the pool is being replenished. |
 | `--env-vars` | `"key1=value1" "key2=value2"` | The environment variables to set in the container. |
+| `--location` | `"Supported Location"` | The location of the session pool. |
 
 To update the session pool, use the `az containerapp sessionpool update` command.
 

articles/defender-for-iot/device-builders/concept-agent-portfolio-overview-os-support.md

@@ -24,8 +24,6 @@ Most of the Linux Operating Systems (OS) are covered by both agents. The agents
 | Ubuntu 20.04 | ✓ | ✓ | ✓ |
 | Ubuntu 22.04 | ✓ |  |  |
 
-The Defender for IoT micro agent also supports Yocto as an open source.
-
 For a more granular view of the micro agent-operating system dependencies, see [Linux dependencies](concept-micro-agent-linux-dependencies.md#linux-dependencies).
 
 ## Eclipse ThreadX micro agent