update azure portal endpoint

Author: laujan

articles/ai-services/language-service/question-answering/how-to/authoring.md

@@ -75,7 +75,7 @@ The update sources example in the [Authoring API docs](./authoring.md#update-sou
 
 |Variable name | Value |
 |--------------------------|-------------|
-| `ENDPOINT`               | This value can be found in the **Keys & Endpoint** section when examining your resource from the Azure portal. Alternatively you can find the value in **Language Studio** > **question answering** > **Deploy project** > **Get prediction URL**. An example endpoint is: `https://southcentralus.api.cognitive.microsoft.com/`. If this was your endpoint in the following code sample, you would only need to add the region-specific portion of `southcentral` as the rest of the endpoint path is already present.|
+| `ENDPOINT`               | This value can be found in the **Keys & Endpoint** section when examining your resource from the Azure portal. Alternatively you can find the value in **Language Studio** > **question answering** > **Deploy project** > **Get prediction URL**. An example endpoint is: `https://southcentralus.cognitiveservices.azure.com/`. If this was your endpoint in the following code sample, you would only need to add the region-specific portion of `southcentral` as the rest of the endpoint path is already present.|
 | `API-KEY` | This value can be found in the **Keys & Endpoint** section when examining your resource from the Azure portal. You can use either Key1 or Key2. Always having two valid keys allows for secure key rotation with zero downtime. Alternatively you can find the value in **Language Studio** > **question answering** > **Deploy project** > **Get prediction URL**. The key value is part of the sample request.|
 | `PROJECT-NAME` | The name of project where you would like to update sources.|
 
@@ -90,7 +90,7 @@ curl -X PATCH -H "Ocp-Apim-Subscription-Key: {API-KEY}" -H "Content-Type: applic
       "refresh": "true"
     }
   }
-]'  -i 'https://{ENDPOINT}.api.cognitive.microsoft.com/language/query-knowledgebases/projects/{PROJECT-NAME}/sources?api-version=2021-10-01'
+]'  -i 'https://{ENDPOINT}.cognitiveservices.azure.com/language/query-knowledgebases/projects/{PROJECT-NAME}/sources?api-version=2021-10-01'
 ```
 
 ## Export questions and answers

articles/ai-services/language-service/question-answering/how-to/export-import-refresh.md

@@ -30,7 +30,7 @@ Below is an example of a sample request:
 ## Sample request
 
 ```
-POST https://{Unique-to-your-endpoint}.api.cognitive.microsoft.com/language/:query-text
+POST https://{Unique-to-your-endpoint}.cognitiveservices.azure.com/language/:query-text
 ```
 
 ### Sample query over a single block of text

articles/ai-services/language-service/question-answering/how-to/prebuilt.md

@@ -32,7 +32,7 @@ To [query a custom question answering project](/rest/api/questionanswering/quest
 
 |Variable name | Value |
 |--------------------------|-------------|
-| `Endpoint`               | This value can be found in the **Keys & Endpoint** section when examining your resource from the Azure portal. Alternatively you can find the value in **Language Studio** > **question answering** > **Deploy project** > **Get prediction URL**. An example endpoint is: `https://southcentralus.api.cognitive.microsoft.com/`|
+| `Endpoint`               | This value can be found in the **Keys & Endpoint** section when examining your resource from the Azure portal. Alternatively you can find the value in **Language Studio** > **question answering** > **Deploy project** > **Get prediction URL**. An example endpoint is: `https://southcentralus.cognitiveservices.azure.com/`|
 | `API-Key` | This value can be found in the **Keys & Endpoint** section when examining your resource from the Azure portal. You can use either Key1 or Key2. Always having two valid keys always for secure key rotation with zero downtime. Alternatively you can find the value in **Language Studio** > **question answering** > **Deploy project** > **Get prediction URL**. The key value is part of the sample request.|
 | `Project` | The name of your custom question answering project.|
 | `Deployment`             | There are two possible values: `test`, and `production`. `production` is dependent on you having deployed your project from **Language Studio** > **question answering** > **Deploy project**.|
@@ -42,7 +42,7 @@ The cURL command is executed from a BASH shell. Edit this command with your own
 ```bash
 curl -X POST -H "Ocp-Apim-Subscription-Key: $LANGUAGE_KEY" -H "Content-Type: application/json" -d '{
   "question": "How much battery life do I have left?"
-  }'  '$LANGUAGE_ENDPOINT.api.cognitive.microsoft.com/language/:query-knowledgebases?projectName={YOUR_PROJECT_NAME}&api-version=2021-10-01&deploymentName={DEPLOYMENT_NAME}'
+  }'  '$LANGUAGE_ENDPOINT.cognitiveservices.azure.com/language/:query-knowledgebases?projectName={YOUR_PROJECT_NAME}&api-version=2021-10-01&deploymentName={DEPLOYMENT_NAME}'
 ```
 
 When you run the code above, if you are using the data source from the prerequisites you will get an answer that looks as follows:
@@ -76,7 +76,7 @@ If you want to exclude answers where the confidence score falls below a certain
 curl -X POST -H "Ocp-Apim-Subscription-Key: $LANGUAGE_KEY" -H "Content-Type: application/json" -d '{
   "question": "How much battery life do I have left?",
   "confidenceScoreThreshold": "0.95",
-  }'  '$LANGUAGE_ENDPOINT.api.cognitive.microsoft.com//language/:query-knowledgebases?projectName=Sample-project&api-version=2021-10-01&deploymentName={DEPLOYMENT_NAME}'
+  }'  '$LANGUAGE_ENDPOINT.cognitiveservices.azure.com//language/:query-knowledgebases?projectName=Sample-project&api-version=2021-10-01&deploymentName={DEPLOYMENT_NAME}'
 ```
 
 Since we know from our previous execution of the code that our confidence score is: `.9185` setting the threshold to `.95` will result in the [default answer](../how-to/change-default-answer.md) being returned.
@@ -111,7 +111,7 @@ curl -X POST -H "Ocp-Apim-Subscription-Key: $LANGUAGE_KEY" -H "Content-Type: app
 {"id":"doc2","text":"You can use the USB port on your Surface Pro 4 power supply to charge other devices, like a phone, while your Surface charges. The USB port on the power supply is only for charging, not for data transfer. If you want to use a USB device, plug it into the USB port on your Surface."}],
 "language":"en",
 "stringIndexType":"Utf16CodeUnit"
-}'  '$LANGUAGE_ENDPOINT.api.cognitive.microsoft.com/language/:query-text?&api-version=2021-10-01'
+}'  '$LANGUAGE_ENDPOINT.cognitiveservices.azure.com/language/:query-text?&api-version=2021-10-01'
 ```
 
 This example will return a result of:

articles/ai-services/language-service/question-answering/includes/rest.md

@@ -79,7 +79,7 @@ You will need to update the code below and provide your own values for the follo
 
 |Variable name | Value |
 |--------------------------|-------------|
-| `endpoint`               | This value can be found in the **Keys & Endpoint** section when examining your resource from the Azure portal. Alternatively you can find the value in **Language Studio** > **question answering** > **Deploy project** > **Get prediction URL**. An example endpoint is: `https://southcentralus.api.cognitive.microsoft.com/`|
+| `endpoint`               | This value can be found in the **Keys & Endpoint** section when examining your resource from the Azure portal. Alternatively you can find the value in **Language Studio** > **question answering** > **Deploy project** > **Get prediction URL**. An example endpoint is: `https://southcentralus.cognitiveservices.azure.com/`|
 | `credential` | This value can be found in the **Keys & Endpoint** section when examining your resource from the Azure portal. You can use either Key1 or Key2. Always having two valid keys always for secure key rotation with zero downtime. Alternatively you can find the value in **Language Studio** > **question answering** > **Deploy project** > **Get prediction URL**. The key value is part of the sample request.|
 | `projectName` | The name of your custom question answering project.|
 | `deploymentName`             | There are two possible values: `test`, and `production`. `production` is dependent on you having deployed your project from **Language Studio** > **question answering** > **Deploy project**.|
@@ -198,7 +198,7 @@ namespace questionansweringcsharp
         static void Main(string[] args)
         {
 
-            Uri endpoint = new Uri("https://{YOUR-ENDPOINT}.api.cognitive.microsoft.com/");
+            Uri endpoint = new Uri("https://{YOUR-ENDPOINT}.cognitiveservices.azure.com/");
             AzureKeyCredential credential = new AzureKeyCredential("YOUR-LANGUAGE-RESOURCE-KEY");
             QuestionAnsweringClient client = new QuestionAnsweringClient(endpoint, credential);
 

articles/ai-services/language-service/question-answering/includes/sdk-csharp.md

@@ -52,7 +52,7 @@ You need to update the code below and provide your own values for the following
 
 |Variable name | Value |
 |--------------------------|-------------|
-| `endpoint`               | This value can be found in the **Keys & Endpoint** section when examining your resource from the Azure portal. Alternatively you can find the value in **Language Studio** > **question answering** > **Deploy project** > **Get prediction URL**. An example endpoint is: `https://southcentralus.api.cognitive.microsoft.com/`|
+| `endpoint`               | This value can be found in the **Keys & Endpoint** section when examining your resource from the Azure portal. Alternatively you can find the value in **Language Studio** > **question answering** > **Deploy project** > **Get prediction URL**. An example endpoint is: `https://southcentralus.cognitiveservices.azure.com/`|
 | `credential` | This value can be found in the **Keys & Endpoint** section when examining your resource from the Azure portal. You can use either Key1 or Key2. Always having two valid keys always for secure key rotation with zero downtime. Alternatively you can find the value in **Language Studio** > **question answering** > **Deploy project** > **Get prediction URL**. The key value is part of the sample request.|
 | `knowledge_base_project` | The name of your question answering project.|
 | `deployment`             | There are two possible values: `test`, and `production`. `production` is dependent on you having deployed your project from **Language Studio** > **question answering** > **Deploy project**.|
@@ -64,7 +64,7 @@ You need to update the code below and provide your own values for the following
 from azure.core.credentials import AzureKeyCredential
 from azure.ai.language.questionanswering import QuestionAnsweringClient
 
-endpoint = "https://{YOUR-ENDPOINT}.api.cognitive.microsoft.com/"
+endpoint = "https://{YOUR-ENDPOINT}.cognitiveservices.azure.com/"
 credential = AzureKeyCredential("{YOUR-LANGUAGE-RESOURCE-KEY}")
 knowledge_base_project = "{YOUR-PROJECT-NAME}"
 deployment = "production"
@@ -145,7 +145,7 @@ from azure.core.credentials import AzureKeyCredential
 from azure.ai.language.questionanswering import QuestionAnsweringClient
 from azure.ai.language.questionanswering import models as qna
 
-endpoint = "https://{YOUR-ENDPOINT}.api.cognitive.microsoft.com/"
+endpoint = "https://{YOUR-ENDPOINT}.cognitiveservices.azure.com/"
 credential = AzureKeyCredential("YOUR-LANGUAGE-RESOURCE-KEY")
 
 def main():

articles/ai-services/language-service/question-answering/includes/sdk-python.md

@@ -95,7 +95,7 @@ You can also create a separate project for each domain and maintain the projects
 
 When the user question is received by the service, you would need to pass on the `projectName` in the REST API endpoint shown to fetch a response from the relevant project. You can locate the URL in the **Deploy project** page under **Get prediction URL**:
 
-`https://southcentralus.api.cognitive.microsoft.com/language/:query-knowledgebases?projectName=Test-Project-English&api-version=2021-10-01&deploymentName=production`
+`https://southcentralus.cognitiveservices.azure.com/language/:query-knowledgebases?projectName=Test-Project-English&api-version=2021-10-01&deploymentName=production`
 
 ## Create a separate language resource for each domain