Merge branch 'main' of https://github.com/MicrosoftDocs/azure-docs-pr into anf-cmk-managed-hsm

Author: b-ahibbard

.openpublishing.publish.config.json

@@ -356,6 +356,12 @@
       "branch": "main",
       "branch_mapping": {}
     },
+    {
+      "path_to_root": "azure-functions-python-worker",
+      "url": "https://github.com/Azure/azure-functions-python-worker",
+      "branch": "dev",
+      "branch_mapping": {}
+    },    
     {
       "path_to_root": "functions-openapi-turbine-repair",
       "url": "https://github.com/Azure-Samples/functions-openapi-turbine-repair",

.openpublishing.redirection.defender-for-cloud.json

@@ -1,5 +1,10 @@
 {
     "redirections": [
+        {
+            "source_path_from_root": "/articles/defender-for-cloud/secret-scanning.md",
+            "redirect_url": "/azure/defender-for-cloud/secrets-scanning-servers",
+            "redirect_document_id": false
+        },
         {
             "source_path_from_root": "/articles/defender-for-cloud/prevent-misconfigurations.md",
             "redirect_url": "/azure/defender-for-cloud/manage-mcsb",
@@ -711,7 +716,7 @@
             "redirect_document_id": true
         },
         {
-            "source_path_from_root": "/articles/security-center/update-regulatory-compliance-packages.md",
+            "source_path_from_root": "/articles/security-center/update-regulatory-compliance-packages.yml",
             "redirect_url": "/azure/defender-for-cloud/update-regulatory-compliance-packages",
             "redirect_document_id": true
         },
@@ -721,7 +726,7 @@
             "redirect_document_id": true
         },
         {
-            "source_path_from_root": "/articles/security-center/workflow-automation.md",
+            "source_path_from_root": "/articles/security-center/workflow-automation.yml",
             "redirect_url": "/azure/defender-for-cloud/workflow-automation",
             "redirect_document_id": true
         },

.openpublishing.redirection.defender-for-iot.json

@@ -760,7 +760,7 @@
             "redirect_document_id": false
         },
         {
-            "source_path_from_root": "/articles/defender-for-iot/how-to-deploy-edge.md",
+            "source_path_from_root": "/articles/defender-for-iot/how-to-deploy-edge.yml",
             "redirect_url": "/azure/defender-for-iot/device-builders/how-to-deploy-edge",
             "redirect_document_id": false
         },

.openpublishing.redirection.json

@@ -3851,7 +3851,7 @@
         },
         {
             "source_path_from_root": "/articles/aks/cluster-configuration.md",
-            "redirect_url": "/azure/aks/concepts-clusters-workloads.md",
+            "redirect_url": "/azure/aks/concepts-clusters-workloads",
             "redirect_document_id": false
         },
         {
@@ -3987,7 +3987,7 @@
         },
         {
             "source_path_from_root":"/articles/trusted-signing/concept.md",
-            "redirect_url":"/azure/trusted-signing/concept-trustedsigning-resources-roles",
+            "redirect_url":"/azure/trusted-signing/concept-trusted-signing-resources-roles",
             "redirect_document_id":false 
         },
         {

articles/active-directory-b2c/azure-monitor.md

@@ -64,7 +64,7 @@ In summary, you'll use Azure Lighthouse to allow a user or group in your Azure A
 
 - An Azure AD B2C account with [Global Administrator](../active-directory/roles/permissions-reference.md#global-administrator) role on the Azure AD B2C tenant.
 
--  A Microsoft Entra account with the [Owner](../role-based-access-control/built-in-roles.md#owner) role in the Microsoft Entra subscription. See how to [Assign a user as an administrator of an Azure subscription](../role-based-access-control/role-assignments-portal-subscription-admin.md). 
+-  A Microsoft Entra account with the [Owner](../role-based-access-control/built-in-roles.md#owner) role in the Microsoft Entra subscription. See how to [Assign a user as an administrator of an Azure subscription](../role-based-access-control/role-assignments-portal-subscription-admin.yml). 
 
 ## 1. Create or choose resource group
 

articles/active-directory-b2c/configure-authentication-in-azure-static-app.md

@@ -37,7 +37,7 @@ When the access token expires or the app session is invalidated, Azure Static We
 - A premium Azure subscription. 
 - If you haven't created an app yet, follow the guidance how to create an [Azure Static Web App](../static-web-apps/overview.md).
 - Familiarize yourself with the Azure Static Web App [staticwebapp.config.json](../static-web-apps/configuration.md) configuration file.
-- Familiarize yourself with the Azure Static Web App [App Settings](../static-web-apps/application-settings.md).
+- Familiarize yourself with the Azure Static Web App [App Settings](../static-web-apps/application-settings.yml).
 
 ## Step 1: Configure your user flow
 
@@ -78,7 +78,7 @@ To register your application, follow these steps:
 
 ## Step 3: Configure the Azure Static App
 
-Once the application is registered with Azure AD B2C, create the following application secrets in the Azure Static Web App's  [application settings](../static-web-apps/application-settings.md). You can configure application settings via the Azure portal or with the Azure CLI. For more information, check out the [Configure application settings for Azure Static Web Apps](../static-web-apps/application-settings.md#configure-application-settings) article.
+Once the application is registered with Azure AD B2C, create the following application secrets in the Azure Static Web App's  [application settings](../static-web-apps/application-settings.yml). You can configure application settings via the Azure portal or with the Azure CLI. For more information, check out the [Configure application settings for Azure Static Web Apps](../static-web-apps/application-settings.yml#configure-application-settings) article.
 
 Add the following keys to the app settings:
 

articles/ai-services/.openpublishing.redirection.ai-services-from-cog.json

@@ -2346,7 +2346,7 @@
       "redirect_document_id": true
     },
     {
-      "source_path_from_root": "/articles/cognitive-services/translator/create-translator-resource.md",
+      "source_path_from_root": "/articles/cognitive-services/translator/create-translator-resource.yml",
       "redirect_url": "/azure/ai-services/translator/create-translator-resource",
       "redirect_document_id": true
     },
@@ -3301,7 +3301,7 @@
       "redirect_document_id": true
     },
     {
-      "source_path_from_root": "/articles/cognitive-services/openai/how-to/switching-endpoints.md",
+      "source_path_from_root": "/articles/cognitive-services/openai/how-to/switching-endpoints.yml",
       "redirect_url": "/azure/ai-services/openai/how-to/switching-endpoints",
       "redirect_document_id": true
     },

articles/ai-services/.openpublishing.redirection.cognitive-services.json

@@ -6074,7 +6074,7 @@
             "redirect_document_id": false
         },
         {
-            "source_path_from_root": "/articles/cognitive-services/Translator/how-to-create-translator-resource.md",
+            "source_path_from_root": "/articles/cognitive-services/Translator/how-to-create-translator-resource.yml",
             "redirect_url": "/azure/ai-services/Translator/create-translator-resource",
             "redirect_document_id": false
         },

articles/ai-services/LUIS/app-schema-definition.md

@@ -30,12 +30,12 @@ When you import and export the app, choose either `.json` or `.lu`.
 
 * Moving to version 7.x, the entities are represented as nested machine-learning entities.
 * Support for authoring nested machine-learning entities with `enableNestedChildren` property on the following authoring APIs:
-    * [Add label](https://westus.dev.cognitive.microsoft.com/docs/services/luis-programmatic-apis-v3-0-preview/operations/5890b47c39e2bb052c5b9c08)
-    * [Add batch label](https://westus.dev.cognitive.microsoft.com/docs/services/luis-programmatic-apis-v3-0-preview/operations/5890b47c39e2bb052c5b9c09)
-    * [Review labels](https://westus.dev.cognitive.microsoft.com/docs/services/luis-programmatic-apis-v3-0-preview/operations/5890b47c39e2bb052c5b9c0a)
-    * [Suggest endpoint queries for entities](https://westus.dev.cognitive.microsoft.com/docs/services/luis-programmatic-apis-v3-0-preview/operations/5890b47c39e2bb052c5b9c2e)
-    * [Suggest endpoint queries for intents](https://westus.dev.cognitive.microsoft.com/docs/services/luis-programmatic-apis-v3-0-preview/operations/5890b47c39e2bb052c5b9c2d)
-
+    * Add label
+    * Add batch label
+    * Review labels
+    * Suggest endpoint queries for entities
+    * Suggest endpoint queries for intents
+    For more information, see the [LUIS reference documentation](/rest/api/cognitiveservices-luis/authoring/features?view=rest-cognitiveservices-luis-authoring-v3.0-preview&tabs=HTTP&preserve-view=true).
 ```json
 {
   "luis_schema_version": "7.0.0",

articles/ai-services/LUIS/concepts/utterances.md

@@ -33,17 +33,17 @@ When you start  [adding example utterances](../how-to/entities.md) to your LUIS
 
 ## Utterances aren't always well formed
 
-Your app may need to process sentences, like "Book a ticket to Paris for me", or a fragment of a sentence, like "Booking" or "Paris flight" Users also often make spelling mistakes. When planning your app, consider whether or not you want to use [Bing Spell Check](../luis-tutorial-bing-spellcheck.md) to correct user input before passing it to LUIS.
+Your app might need to process sentences, like "Book a ticket to Paris for me," or a fragment of a sentence, like "Booking" or "Paris flight" Users also often make spelling mistakes. When planning your app, consider whether or not you want to use [Bing Spell Check](../luis-tutorial-bing-spellcheck.md) to correct user input before passing it to LUIS.
 
-If you do not spell check user utterances, you should train LUIS on utterances that include typos and misspellings.
+If you don't spell check user utterances, you should train LUIS on utterances that include typos and misspellings.
 
 ### Use the representative language of the user
 
-When choosing utterances, be aware that what you think are common terms or phrases might not be common for the typical user of your client application. They may not have domain experience or use different terminology. Be careful when using terms or phrases that a user would only say if they were an expert.
+When choosing utterances, be aware that what you think are common terms or phrases might not be common for the typical user of your client application. They might not have domain experience or use different terminology. Be careful when using terms or phrases that a user would only say if they were an expert.
 
 ### Choose varied terminology and phrasing
 
-You will find that even if you make efforts to create varied sentence patterns, you will still repeat some vocabulary. For example, the following utterances have similar meaning, but different terminology and phrasing:
+You'll find that even if you make efforts to create varied sentence patterns, you'll still repeat some vocabulary. For example, the following utterances have similar meaning, but different terminology and phrasing:
 
 * "*How do I get a computer?*"
 * "*Where do I get a computer?*" 
@@ -54,15 +54,15 @@ The core term here, _computer_, isn't varied. Use alternatives such as desktop c
 
 ## Example utterances in each intent
 
-Each intent needs to have example utterances - at least 15. If you have an intent that does not have any example utterances, you will not be able to train LUIS. If you have an intent with one or few example utterances, LUIS may not accurately predict the intent.
+Each intent needs to have example utterances - at least 15. If you have an intent that doesn't have any example utterances, you will not be able to train LUIS. If you have an intent with one or few example utterances, LUIS might not accurately predict the intent.
 
 ## Add small groups of utterances
 
 Each time you iterate on your model to improve it, don't add large quantities of utterances. Consider adding utterances in quantities of 15. Then [Train](../how-to/train-test.md), [publish](../how-to/publish.md), and [test](../how-to/train-test.md) again.
 
 LUIS builds effective models with utterances that are carefully selected by the LUIS model author. Adding too many utterances isn't valuable because it introduces confusion.
 
-It is better to start with a few utterances, then [review the endpoint utterances](../how-to/improve-application.md) for correct intent prediction and entity extraction.
+It's better to start with a few utterances, then [review the endpoint utterances](../how-to/improve-application.md) for correct intent prediction and entity extraction.
 
 ## Utterance normalization
 
@@ -78,7 +78,7 @@ If you turn on a normalization setting, scores in the  **Test**  pane, batch tes
 
 When you clone a version in the LUIS portal, the version settings are kept in the new cloned version.
 
-Set your app's version settings using the LUIS portal by selecting **Manage**  from the top navigation menu, in the  **Application Settings**  page. You can also use the [Update Version Settings API](https://westus.dev.cognitive.microsoft.com/docs/services/5890b47c39e2bb17b84a55ff/operations/versions-update-application-version-settings). See the  [Reference](../luis-reference-application-settings.md) documentation for more information.
+Set your app's version settings using the LUIS portal by selecting **Manage**  from the top navigation menu, in the  **Application Settings**  page. You can also use the [Update Version Settings API](/rest/api/cognitiveservices-luis/authoring/versions/update?view=rest-cognitiveservices-luis-authoring-v3.0-preview&tabs=HTTP&preserve-view=true). See the  [Reference](../luis-reference-application-settings.md) documentation for more information.
 
 ## Word forms
 
@@ -94,9 +94,9 @@ Diacritics are marks or signs within the text, such as:
 
 Normalizing  **punctuation**  means that before your models get trained and before your endpoint queries get predicted, punctuation will be removed from the utterances.
 
-Punctuation is a separate token in LUIS. An utterance that contains a period at the end is a separate utterance than one that does not contain a period at the end, and may get two different predictions.
+Punctuation is a separate token in LUIS. An utterance that contains a period at the end is a separate utterance than one that doesn't contain a period at the end, and might get two different predictions.
 
-If punctuation is not normalized, LUIS doesn't ignore punctuation marks by default because some client applications may place significance on these marks. Make sure to include example utterances that use punctuation, and ones that don't, for both styles to return the same relative scores.
+If punctuation isn't normalized, LUIS doesn't ignore punctuation marks by default because some client applications might place significance on these marks. Make sure to include example utterances that use punctuation, and ones that don't, for both styles to return the same relative scores.
 
 Make sure the model handles punctuation either in the example utterances (both having and not having punctuation) or in [patterns](../concepts/patterns-features.md) where it is easier to ignore punctuation. For example: I am applying for the {Job} position[.]
 
@@ -108,11 +108,11 @@ If you want to ignore specific words or punctuation in patterns, use a [pattern]
 
 ## Training with all utterances
 
-Training is generally non-deterministic: utterance prediction can vary slightly across versions or apps. You can remove non-deterministic training by updating the [version settings](https://westus.dev.cognitive.microsoft.com/docs/services/5890b47c39e2bb17b84a55ff/operations/versions-update-application-version-settings) API with the UseAllTrainingData name/value pair to use all training data.
+Training is nondeterministic: utterance prediction can vary slightly across versions or apps. You can remove nondeterministic training by updating the [version settings](/rest/api/cognitiveservices-luis/authoring/settings/update?view=rest-cognitiveservices-luis-authoring-v3.0-preview&tabs=HTTP&preserve-view=true) API with the UseAllTrainingData name/value pair to use all training data.
 
 ## Testing utterances
 
-Developers should start testing their LUIS application with real data by sending utterances to the [prediction endpoint](../luis-how-to-azure-subscription.md) URL. These utterances are used to improve the performance of the intents and entities with [Review utterances](../how-to/improve-application.md). Tests submitted using the testing pane in the LUIS portal are not sent through the endpoint, and don't contribute to active learning.
+Developers should start testing their LUIS application with real data by sending utterances to the [prediction endpoint](../luis-how-to-azure-subscription.md) URL. These utterances are used to improve the performance of the intents and entities with [Review utterances](../how-to/improve-application.md). Tests submitted using the testing pane in the LUIS portal aren't sent through the endpoint, and don't contribute to active learning.
 
 ## Review utterances
 
@@ -122,10 +122,10 @@ After your model is trained, published, and receiving [endpoint](../luis-glossar
 
 ### Label for word meaning
 
-If the word choice or word arrangement is the same, but doesn't mean the same thing, do not label it with the entity.
+If the word choice or word arrangement is the same, but doesn't mean the same thing, don't label it with the entity.
 
 In the following utterances, the word fair is a homograph, which means it's spelled the same but has a different meaning:
-* "*What kind of county fairs are happening in the Seattle area this summer?*" 
+* "*What kinds of county fairs are happening in the Seattle area this summer?*" 
 * "*Is the current 2-star rating for the restaurant fair?*
 
 If you want an event entity to find all event data, label the word fair in the first utterance, but not in the second.
@@ -138,7 +138,7 @@ LUIS expects variations in an intent's utterances. The utterances can vary while
 | Don't use the same format | Do use varying formats |
 |--|--|
 | Buy a ticket to Seattle|Buy 1 ticket to Seattle|
-|Buy a ticket to Paris|Reserve two seats on the red eye to Paris next Monday|
+|Buy a ticket to Paris|Reserve two tickets on the red eye to Paris next Monday|
 |Buy a ticket to Orlando |I would like to book 3 tickets to Orlando for spring break |