Merge pull request #205541 from DenKenMSFT/UserStory1971500-04

Subscription key note update - Custom Vision Service

Author: PRMerger20

articles/cognitive-services/Custom-Vision-Service/includes/quickstarts/csharp-tutorial-od.md

@@ -89,8 +89,9 @@ In the application's **Main** method, create variables for your resource's key a
 
 > [!IMPORTANT]
 > Go to the Azure portal. If the Custom Vision resources you created in the **Prerequisites** section deployed successfully, click the **Go to Resource** button under **Next Steps**. You can find your keys and endpoint in the resources' **key and endpoint** pages, under **resource management**. You'll need to get the keys for both your training and prediction resources, along with the API endpoint for your training resource.
->
-> Remember to remove the keys from your code when you're done, and never post them publicly. For production, consider using a secure way of storing and accessing your credentials. For more information, see the Cognitive Services [security](../../../cognitive-services-security.md) article.
+
+> [!IMPORTANT]
+> Remember to remove the keys from your code when you're done, and never post them publicly. For production, use a secure way of storing and accessing your credentials like [Azure Key Vault](../../../../key-vault/general/overview.md). See the Cognitive Services [security](../../../cognitive-services-security.md) article for more information.
 
 In the application's **Main** method, add calls for the methods used in this quickstart. You will implement these later.
 

articles/cognitive-services/Custom-Vision-Service/includes/quickstarts/csharp-tutorial.md

@@ -94,8 +94,9 @@ In the application's **Main** method, create variables for your resource's key a
 > Go to the Azure portal. If the Custom Vision resources you created in the **Prerequisites** section deployed successfully, click the **Go to Resource** button under **Next Steps**. You can find your keys and endpoint in the resources' **key and endpoint** pages. You'll need to get the keys for both your training and prediction resources, along with the API endpoint for your training resource.
 >
 > You can find the prediction resource ID on the resource's **Properties** tab in the Azure portal, listed as **Resource ID**.
-> 
-> Remember to remove the keys from your code when you're done, and never post them publicly. For production, consider using a secure way of storing and accessing your credentials. For more information, see the Cognitive Services [security](../../../cognitive-services-security.md) article.
+
+> [!IMPORTANT]
+> Remember to remove the keys from your code when you're done, and never post them publicly. For production, use a secure way of storing and accessing your credentials like [Azure Key Vault](../../../../key-vault/general/overview.md). See the Cognitive Services [security](../../../cognitive-services-security.md) article for more information.
 
 In the application's **Main** method, add calls for the methods used in this quickstart. You will implement these later.
 

articles/cognitive-services/Custom-Vision-Service/includes/quickstarts/go-tutorial-object-detection.md

@@ -99,6 +99,9 @@ func main() {
     project, _ := trainer.CreateProject(ctx, project_name, "", objectDetectDomain.ID, "")
 ```
 
+> [!IMPORTANT]
+> Remember to remove the keys from your code when you're done, and never post them publicly. For production, use a secure way of storing and accessing your credentials like [Azure Key Vault](../../../../key-vault/general/overview.md). See the Cognitive Services [security](../../../cognitive-services-security.md) article for more information.
+
 ## Create tags in the project
 
 To create classification tags to your project, add the following code to the end of *sample.go*:

articles/cognitive-services/Custom-Vision-Service/includes/quickstarts/go-tutorial.md

@@ -92,6 +92,9 @@ func main() {
     }
 ```
 
+> [!IMPORTANT]
+> Remember to remove the keys from your code when you're done, and never post them publicly. For production, use a secure way of storing and accessing your credentials like [Azure Key Vault](../../../../key-vault/general/overview.md). See the Cognitive Services [security](../../../cognitive-services-security.md) article for more information.
+
 ## Create tags in the project
 
 To create classification tags to your project, add the following code to the end of *sample.go*:

articles/cognitive-services/Custom-Vision-Service/includes/quickstarts/java-tutorial-od.md

@@ -98,8 +98,9 @@ In the application's **CustomVisionQuickstart** class, create variables for your
 
 > [!IMPORTANT]
 > Go to the Azure portal. If the Custom Vision resources you created in the **Prerequisites** section deployed successfully, click the **Go to Resource** button under **Next Steps**. You can find your keys and endpoint in the resources' **key and endpoint** pages, under **resource management**. You'll need to get the keys for both your training and prediction resources, along with the API endpoint for your training resource.
->
-> Remember to remove the key from your code when you're done, and never post it publicly. For production, consider using a secure way of storing and accessing your credentials. For more information, see the Cognitive Services [security](../../../cognitive-services-security.md) article.
+
+> [!IMPORTANT]
+> Remember to remove the keys from your code when you're done, and never post them publicly. For production, use a secure way of storing and accessing your credentials like [Azure Key Vault](../../../../key-vault/general/overview.md). See the Cognitive Services [security](../../../cognitive-services-security.md) article for more information.
 
 In the application's **main** method, add calls for the methods used in this quickstart. You'll define these later.
 

articles/cognitive-services/Custom-Vision-Service/includes/quickstarts/java-tutorial.md

@@ -99,8 +99,9 @@ In the application's **CustomVisionQuickstart** class, create variables for your
 > Go to the Azure portal. If the Custom Vision resources you created in the **Prerequisites** section deployed successfully, click the **Go to Resource** button under **Next Steps**. You can find your keys and endpoint in the resources' **key and endpoint** pages. You'll need to get the keys for both your training and prediction resources, along with the API endpoint for your training resource.
 >
 > You can find the prediction resource ID on the resource's **Properties** tab in the Azure portal, listed as **Resource ID**.
-> 
-> Remember to remove the key from your code when you're done, and never post it publicly. For production, consider using a secure way of storing and accessing your credentials. For more information, see the Cognitive Services [security](../../../cognitive-services-security.md) article.
+
+> [!IMPORTANT]
+> Remember to remove the keys from your code when you're done, and never post them publicly. For production, use a secure way of storing and accessing your credentials like [Azure Key Vault](../../../../key-vault/general/overview.md). See the Cognitive Services [security](../../../cognitive-services-security.md) article for more information.
 
 In the application's **main** method, add calls for the methods used in this quickstart. You'll define these later.
 

articles/cognitive-services/Custom-Vision-Service/includes/quickstarts/node-tutorial-object-detection.md

@@ -71,8 +71,9 @@ Create variables for your resource's Azure endpoint and keys.
 
 > [!IMPORTANT]
 > Go to the Azure portal. If the Custom Vision resources you created in the **Prerequisites** section deployed successfully, click the **Go to Resource** button under **Next Steps**. You can find your keys and endpoint in the resources' **key and endpoint** pages, under **resource management**. You'll need to get the keys for both your training and prediction resources, along with the API endpoint for your training resource.
->
-> Remember to remove the key from your code when you're done, and never post it publicly. For production, consider using a secure way of storing and accessing your credentials. For more information, see the Cognitive Services [security](../../../cognitive-services-security.md) article.
+
+> [!IMPORTANT]
+> Remember to remove the keys from your code when you're done, and never post them publicly. For production, use a secure way of storing and accessing your credentials like [Azure Key Vault](../../../../key-vault/general/overview.md). See the Cognitive Services [security](../../../cognitive-services-security.md) article for more information.
 
 Also add fields for your project name and a timeout parameter for asynchronous calls.
 

articles/cognitive-services/Custom-Vision-Service/includes/quickstarts/node-tutorial.md

@@ -73,8 +73,9 @@ Create variables for your resource's Azure endpoint and keys.
 > Go to the Azure portal. If the Custom Vision Training resource you created in the **Prerequisites** section deployed successfully, click the **Go to Resource** button under **Next Steps**. You can find your key and endpoint in the resource's **key and endpoint** page. 
 >
 >You can find the prediction resource ID on the resource's **Properties** tab in the Azure portal, listed as **Resource ID**.
->
-> Remember to remove the key from your code when you're done, and never post it publicly. For production, consider using a secure way of storing and accessing your credentials. For more information, see the Cognitive Services [security](../../../cognitive-services-security.md) article.
+
+> [!IMPORTANT]
+> Remember to remove the keys from your code when you're done, and never post them publicly. For production, use a secure way of storing and accessing your credentials like [Azure Key Vault](../../../../key-vault/general/overview.md). See the Cognitive Services [security](../../../cognitive-services-security.md) article for more information.
 
 Also add fields for your project name and a timeout parameter for asynchronous calls.
 

articles/cognitive-services/Custom-Vision-Service/includes/quickstarts/python-tutorial-od.md

@@ -58,8 +58,9 @@ Create variables for your resource's Azure endpoint and keys.
 > Go to the Azure portal. If the Custom Vision resources you created in the **Prerequisites** section deployed successfully, click the **Go to Resource** button under **Next Steps**. You can find your keys and endpoint in the resources' **key and endpoint** pages, under **resource management**. You'll need to get the keys for both your training and prediction resources, along with the API endpoint for your training resource.
 >
 > You can find the prediction resource ID on the resource's **Properties** tab in the Azure portal, listed as **Resource ID**.
->
-> Remember to remove the keys from your code when you're done, and never post them publicly. For production, consider using a secure way of storing and accessing your credentials. For more information, see the Cognitive Services [security](../../../cognitive-services-security.md) article.
+
+> [!IMPORTANT]
+> Remember to remove the keys from your code when you're done, and never post them publicly. For production, use a secure way of storing and accessing your credentials like [Azure Key Vault](../../../../key-vault/general/overview.md). See the Cognitive Services [security](../../../cognitive-services-security.md) article for more information.
 
 ## Object model
 

articles/cognitive-services/Custom-Vision-Service/includes/quickstarts/python-tutorial.md

@@ -59,8 +59,9 @@ Create variables for your resource's Azure endpoint and keys.
 > You can find the prediction resource ID on the resource's **Properties** tab in the Azure portal, listed as **Resource ID**.
 >
 > You also can go to https://www.customvision.ai/. After you sign in, select the **Settings** icon at the top right. On the **Setting** pages, you can get all the keys, resource ID, and endpoints.
->
-> Remember to remove the keys from your code when you're done, and never post them publicly. For production, consider using a secure way of storing and accessing your credentials. For more information, see the Cognitive Services [security](../../../cognitive-services-security.md) article.
+
+> [!IMPORTANT]
+> Remember to remove the keys from your code when you're done, and never post them publicly. For production, use a secure way of storing and accessing your credentials like [Azure Key Vault](../../../../key-vault/general/overview.md). See the Cognitive Services [security](../../../cognitive-services-security.md) article for more information.
 
 ## Object model