Merge pull request #277435 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/computer-vision/how-to/find-similar-faces.md

@@ -46,17 +46,6 @@ The following code uses the above method to get face data from a series of image
 [!code-csharp[](~/cognitive-services-quickstart-code/dotnet/Face/FaceQuickstart.cs?name=snippet_loadfaces)]
 
 
-#### [JavaScript](#tab/javascript)
-
-The following face detection method is optimized for comparison operations. It doesn't extract detailed face attributes, and it uses an optimized recognition model.
-
-:::code language="js" source="~/cognitive-services-quickstart-code/javascript/Face/sdk_quickstart.js" id="recognize":::
-
-The following code uses the above method to get face data from a series of images.
-
-:::code language="js" source="~/cognitive-services-quickstart-code/javascript/Face/sdk_quickstart.js" id="snippet_loadfaces":::
-
-
 #### [REST API](#tab/rest)
 
 Copy the following cURL command and insert your key and endpoint where appropriate. Then run the command to detect one of the target faces.
@@ -89,12 +78,6 @@ The following code prints the match details to the console:
 
 [!code-csharp[](~/cognitive-services-quickstart-code/dotnet/Face/FaceQuickstart.cs?name=snippet_find_similar_print)]
 
-#### [JavaScript](#tab/javascript)
-
-The following method takes a set of target faces and a single source face. Then, it compares them and finds all the target faces that are similar to the source face. Finally, it prints the match details to the console.
-
-:::code language="js" source="~/cognitive-services-quickstart-code/javascript/Face/sdk_quickstart.js" id="find_similar":::
-
 
 #### [REST API](#tab/rest)
 

articles/ai-services/computer-vision/includes/quickstarts-sdk/identity-javascript-sdk.md

@@ -15,7 +15,7 @@ ms.author: pafarley
 
 Get started with facial recognition using the Face client library for JavaScript. Follow these steps to install the package and try out the example code for basic tasks. The Face service provides you with access to advanced algorithms for detecting and recognizing human faces in images. Follow these steps to install the package and try out the example code for basic face identification using remote images.
 
-[Reference documentation](/javascript/api/overview/azure/cognitiveservices-face-readme) | [Package (npm)](https://www.npmjs.com/package/@azure/cognitiveservices-face) | [Samples](/samples/browse/?products=azure&term=face&languages=javascript)
+[Reference documentation](https://aka.ms/azsdk-javascript-face-ref) | [Library source code](https://github.com/Azure/azure-sdk-for-js/tree/main/sdk/face/ai-vision-face-rest) | [Package (npm)](https://www.npmjs.com/package/@azure-rest/ai-vision-face) | [Samples](https://github.com/Azure/azure-sdk-for-js/tree/main/sdk/face/ai-vision-face-rest/samples)
 
 ## Prerequisites
 
@@ -47,10 +47,10 @@ Get started with facial recognition using the Face client library for JavaScript
     npm init
     ```
 
-1. Install the `ms-rest-azure` and `azure-cognitiveservices-face` npm packages:
+1. Install the `@azure-rest/ai-vision-face` npm packages:
 
     ```console
-    npm install @azure/cognitiveservices-face @azure/ms-rest-js uuid
+    npm install @azure-rest/ai-vision-face
     ```
 
     Your app's `package.json` file is updated with the dependencies.
@@ -96,12 +96,18 @@ Add face to the person group person: (Family2-Lady) from image: Family2-Lady1.jp
 Done adding faces to person group.
 
 Training person group: c08484e0-044b-4610-8b7e-c957584e5d2d.
-Waiting 10 seconds...
 Training status: succeeded.
-
+No persons identified for face with ID 259dd648-be70-499c-9942-3512594e21eb
 Person: Family1-Mom is identified for face in: identification1.jpg with ID: b7f7f542-c338-4a40-ad52-e61772bc6e14. Confidence: 0.96921.
 Person: Family1-Son is identified for face in: identification1.jpg with ID: 600dc1b4-b2c4-4516-87de-edbbdd8d7632. Confidence: 0.92886.
 Person: Family1-Dad is identified for face in: identification1.jpg with ID: e83b494f-9ad2-473f-9d86-3de79c01e345. Confidence: 0.96725.
+Verification result between face bb7f7f542-c338-4a40-ad52-e61772bc6e14 and person de1d7dea-a393-4f69-9062-10cb66d4cf17: true with confidence: 0.96921
+Verification result between face 600dc1b4-b2c4-4516-87de-edbbdd8d7632 and person 05fd84e4-41b0-4716-b767-4376e33fa207: true with confidence: 0.92886
+Verification result between face e83b494f-9ad2-473f-9d86-3de79c01e345 and person c5124fe2-39dd-47ba-9163-1ed2998fdeb2: true with confidence: 0.96725
+
+Deleting person group: c08484e0-044b-4610-8b7e-c957584e5d2d
+
+Done.
 ```
 
 
@@ -120,4 +126,4 @@ In this quickstart, you learned how to use the Face client library for JavaScrip
 > [Specify a face detection model version](../../how-to/specify-detection-model.md)
 
 * [What is the Face service?](../../overview-identity.md)
-* More extensive sample code can be found on [GitHub](https://github.com/Azure-Samples/cognitive-services-quickstart-code/blob/master/javascript/Face/sdk_quickstart.js).
+* More extensive sample code can be found on [GitHub](https://github.com/Azure/azure-sdk-for-js/tree/main/sdk/face/ai-vision-face-rest/samples).

articles/app-service/configure-language-java.md

@@ -699,11 +699,12 @@ Here's a PowerShell script that completes these steps:
     # Delete previous Tomcat directory if it exists
     # In case previous config isn't completed or a new config should be forcefully installed
     if(Test-Path "$Env:LOCAL_EXPANDED\tomcat"){
-        Remove-Item "$Env:LOCAL_EXPANDED\tomcat" --recurse
+        Remove-Item "$Env:LOCAL_EXPANDED\tomcat" -Recurse
     }
 
     # Copy Tomcat to local
     # Using the environment variable $AZURE_TOMCAT90_HOME uses the 'default' version of Tomcat
+    New-Item "$Env:LOCAL_EXPANDED\tomcat" -ItemType Directory
     Copy-Item -Path "$Env:AZURE_TOMCAT90_HOME\*" -Destination "$Env:LOCAL_EXPANDED\tomcat" -Recurse
 
     # Perform the required customization of Tomcat