Merge branch 'main' of github.com:MicrosoftDocs/azure-docs-pr

Author: sdgilley

.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.azure-kubernetes-service.json

@@ -351,12 +351,6 @@
             "redirect_url": "/cli/azure/aks#az_aks_create",
             "redirect_document_id": false
         },
-        {
-            "source_path_from_root": "/articles/aks/delete-cluster.md",
-            "redirect_url": "/cli/azure/aks#az_aks_delete",
-            "redirect_document_id": false
-        },
-
         {
             "source_path": "articles/aks/view-master-logs.md",
             "redirect_url": "/azure/aks/view-control-plane-logs",

.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",

.openpublishing.redirection.json

@@ -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 
         },
         {

.openpublishing.redirection.sentinel.json

@@ -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/app-schema-definition.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 |
 
 

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

@@ -50,8 +50,8 @@ Both authoring and prediction endpoint APIS are available from REST APIs:
 
 |Type|Version|
 |--|--|
-|Authoring|[V2](https://go.microsoft.com/fwlink/?linkid=2092087)<br>[preview V3](https://westeurope.dev.cognitive.microsoft.com/docs/services/luis-programmatic-apis-v3-0-preview)|
-|Prediction|[V2](https://go.microsoft.com/fwlink/?linkid=2092356)<br>[V3](https://westcentralus.dev.cognitive.microsoft.com/docs/services/luis-endpoint-api-v3-0/)|
+|Authoring|[V2](https://go.microsoft.com/fwlink/?linkid=2092087)<br>[preview V3](/rest/api/cognitiveservices-luis/authoring/operation-groups)|
+|Prediction|[V2](https://go.microsoft.com/fwlink/?linkid=2092356)<br>[V3](/rest/api/cognitiveservices-luis/runtime/operation-groups?view=rest-cognitiveservices-luis-authoring-v3.0-preview&tabs=HTTP&preserve-view=true)|
 
 ### REST Endpoints
 

articles/ai-services/LUIS/developer-reference-resource.md

@@ -1,6 +1,6 @@
 ---
 title: LUIS frequently asked questions
-description: Use this article to see frequently asked questions about LUIS, and troubleshooting information
+description: Use this article to see frequently asked questions about LUIS, and troubleshooting information.
 ms.service: azure-ai-language
 ms.author: aahi
 author: aahill
@@ -30,24 +30,24 @@ Yes, [Speech](../speech-service/how-to-recognize-intents-from-speech-csharp.md#l
 
 ## What are Synonyms and word variations?
 
-LUIS has little or no knowledge of the broader _NLP_ aspects, such as semantic similarity, without explicit identification in examples. For example, the following tokens (words) are three different things until they are used in similar contexts in the examples provided:
+LUIS has little or no knowledge of the broader _NLP_ aspects, such as semantic similarity, without explicit identification in examples. For example, the following tokens (words) are three different things until they're used in similar contexts in the examples provided:
 
 * Buy
 * Buying
 * Bought
 
-For semantic similarity Natural Language Understanding (NLU), you can use [Conversation Language Understanding](../language-service/conversational-language-understanding/overview.md)
+For semantic similarity Natural Language Understanding (NLU), you can use [Conversation Language Understanding](../language-service/conversational-language-understanding/overview.md).
 
 ## What are the Authoring and prediction pricing?
-Language Understand has separate resources, one type for authoring, and one type for querying the prediction endpoint, each has their own pricing. See [Resource usage and limits](luis-limits.md#resource-usage-and-limits)
+Language Understand has separate resources, one type for authoring, and one type for querying the prediction endpoint, each has their own pricing. See [Resource usage and limits](luis-limits.md#resource-usage-and-limits).
 
 ## What are the supported regions?
 
-See [region support](https://azure.microsoft.com/global-infrastructure/services/?products=cognitive-services)
+See [region support](https://azure.microsoft.com/global-infrastructure/services/?products=cognitive-services).
 
 ## How does LUIS store data?
 
-LUIS stores data encrypted in an Azure data store corresponding to the region specified by the key. Data used to train the model such as entities, intents, and utterances will be saved in LUIS for the lifetime of the application. If an owner or contributor deletes the app, this data will be deleted with it. If an application hasn't been used in 90 days, it will be deleted.See [Data retention](luis-concept-data-storage.md) to know more details about data storage
+LUIS stores data encrypted in an Azure data store corresponding to the region specified by the key. Data used to train the model such as entities, intents, and utterances will be saved in LUIS for the lifetime of the application. If an owner or contributor deletes the app, this data will be deleted with it. If an application hasn't been used in 90 days, it will be deleted. See [Data retention](luis-concept-data-storage.md) for more details about data storage.
 
 ## Does LUIS support Customer-Managed Keys (CMK)?
 
@@ -71,7 +71,7 @@ Use one of the following solutions:
 
 ## Why is my app is getting different scores every time I train?
 
-Enable or disable the use non-deterministic training option. When disabled, training will use all available data. When enabled (by default), training will use a random sample each time the app is trained, to be used as a negative for the intent. To make sure that you are getting same scores every time, make sure you train your LUIS app with all your data. See the [training article](how-to/train-test.md#change-deterministic-training-settings-using-the-version-settings-api) for more information.
+Enable or disable the use nondeterministic training option. When disabled, training will use all available data. When enabled (by default), training will use a random sample each time the app is trained, to be used as a negative for the intent. To make sure that you are getting same scores every time, make sure you train your LUIS app with all your data. See the [training article](how-to/train-test.md#change-deterministic-training-settings-using-the-version-settings-api) for more information.
 
 ## I received an HTTP 403 error status code. How do I fix it? Can I handle more requests per second?
 
@@ -115,7 +115,7 @@ To get the same top intent between all the apps, make sure the intent prediction
 
 When training these apps, make sure to [train with all data](how-to/train-test.md).
 
-Designate a single main app. Any utterances that are suggested for review should be added to the main app, then moved back to all the other apps. This is either a full export of the app, or loading the labeled utterances from the main app to the other apps. Loading can be done from either the [LUIS](./luis-reference-regions.md) website or the authoring API for a [single utterance](https://westus.dev.cognitive.microsoft.com/docs/services/5890b47c39e2bb17b84a55ff/operations/5890b47c39e2bb052c5b9c08) or for a [batch](https://westus.dev.cognitive.microsoft.com/docs/services/5890b47c39e2bb17b84a55ff/operations/5890b47c39e2bb052c5b9c09).
+Designate a single main app. Any utterances that are suggested for review should be added to the main app, then moved back to all the other apps. This is either a full export of the app, or loading the labeled utterances from the main app to the other apps. Loading can be done from either the [LUIS](./luis-reference-regions.md?view=rest-cognitiveservices-luis-authoring-v3.0-preview&tabs=HTTP&preserve-view=true) website or the authoring API for a [single utterance](/rest/api/cognitiveservices-luis/authoring/examples/add) or for a [batch](/rest/api/cognitiveservices-luis/authoring/examples/batch?view=rest-cognitiveservices-luis-authoring-v3.0-preview&tabs=HTTP&preserve-view=true).
 
 Schedule a periodic review, such as every two weeks, of [endpoint utterances](how-to/improve-application.md) for active learning, then retrain and republish the app.