Merge pull request #96087 from craigcaseyMSFT/vcraic1114b

PRMerger18 · web-flow · commit 4e8d123ddeec · 2019-11-15T06:50:15.000-08:00
fix broken links from CATS report
diff --git a/articles/azure-arc/servers/overview.md b/articles/azure-arc/servers/overview.md
@@ -128,7 +128,7 @@ Log data collected by the [Microsoft Monitoring Agent (MMA)](https://docs.micros
 
 - Machines that already have the MMA agent installed, will have **Azure Arc** functionality enabled via updated Management Packs.
 - [MMA agent version 10.20.18011 or above](https://docs.microsoft.com/azure/virtual-machines/extensions/oms-windows#agent-and-vm-extension-version) is required for Azure Arc for servers integration.
-- When querying for log data in [Azure Monitor](https://docs.microsoft.com/azure/azure-monitor/log-query/log-query-overview#log-queries), the returned data schema will contain the Hybrid **ResourceId** in the form `/subscriptions/<SubscriptionId/resourceGroups/<ResourceGroup>/providers/Microsoft.HybridCompute/machines/<MachineName>`.
+- When querying for log data in [Azure Monitor](https://docs.microsoft.com/azure/azure-monitor/log-query/log-query-overview), the returned data schema will contain the Hybrid **ResourceId** in the form `/subscriptions/<SubscriptionId/resourceGroups/<ResourceGroup>/providers/Microsoft.HybridCompute/machines/<MachineName>`.
 
 For more information, see [Get started with Log Analytics in Azure Monitor](https://docs.microsoft.com/azure/azure-monitor/log-query/get-started-portal).
 
diff --git a/articles/cognitive-services/LUIS/includes/get-started-get-intent-rest-csharp.md b/articles/cognitive-services/LUIS/includes/get-started-get-intent-rest-csharp.md
@@ -173,4 +173,4 @@ When you are finished with this quickstart, delete the file from the file system
 ## Next steps
 
 > [!div class="nextstepaction"]
-> [Add utterances and train](../luis-get-started-cs-add-utterance.md)
+> [Add utterances and train](../get-started-get-model-rest-apis.md)
diff --git a/articles/cognitive-services/LUIS/includes/get-started-get-intent-rest-go.md b/articles/cognitive-services/LUIS/includes/get-started-get-intent-rest-go.md
@@ -160,4 +160,4 @@ When you are finished with this quickstart, delete the file from the file system
 ## Next steps
 
 > [!div class="nextstepaction"]
-> [Add utterances and train](../luis-get-started-go-add-utterance.md)
+> [Add utterances and train](../get-started-get-model-rest-apis.md)
diff --git a/articles/cognitive-services/LUIS/includes/get-started-get-intent-rest-java.md b/articles/cognitive-services/LUIS/includes/get-started-get-intent-rest-java.md
@@ -177,4 +177,4 @@ When you are finished with this quickstart, delete the file from the file system
 ## Next steps
 
 > [!div class="nextstepaction"]
-> [Add utterances and train with Java](../luis-get-started-java-add-utterance.md)
+> [Add utterances and train with Java](../get-started-get-model-rest-apis.md)
diff --git a/articles/cognitive-services/LUIS/includes/get-started-get-intent-rest-nodejs.md b/articles/cognitive-services/LUIS/includes/get-started-get-intent-rest-nodejs.md
@@ -148,4 +148,4 @@ When you are finished with this quickstart, delete the file from the file system
 ## Next steps
 
 > [!div class="nextstepaction"]
-> [Add utterances and train](../luis-get-started-node-add-utterance.md)
+> [Add utterances and train](../get-started-get-model-rest-apis.md)
diff --git a/articles/cognitive-services/LUIS/includes/get-started-get-intent-rest-python.md b/articles/cognitive-services/LUIS/includes/get-started-get-intent-rest-python.md
@@ -133,4 +133,4 @@ When you are finished with this quickstart, delete the file from the file system
 ## Next steps
 
 > [!div class="nextstepaction"]
-> [Add utterances and train](../luis-get-started-python-add-utterance.md)
+> [Add utterances and train](../get-started-get-model-rest-apis.md)
diff --git a/articles/cognitive-services/LUIS/troubleshooting.md b/articles/cognitive-services/LUIS/troubleshooting.md
@@ -44,7 +44,7 @@ Yes, it is good to train your **None** intent with more utterances as you add mo
 See the [Bing Spell Check API V7](luis-tutorial-bing-spellcheck.md) tutorial. LUIS enforces limits imposed by Bing Spell Check API V7.
 
 ### How do I edit my LUIS app programmatically?
-To edit your LUIS app programmatically, use the [Authoring API](https://go.microsoft.com/fwlink/?linkid=2092087). See [Call LUIS authoring API](./luis-quickstart-node-add-utterance.md) and [Build a LUIS app programmatically using Node.js](./luis-tutorial-node-import-utterances-csv.md) for examples of how to call the Authoring API. The Authoring API requires that you use an [authoring key](luis-concept-keys.md#azure-resources-for-luis) rather than an endpoint key. Programmatic authoring allows up to 1,000,000 calls per month and five transactions per second. For more info on the keys you use with LUIS, see [Manage keys](./luis-concept-keys.md).
+To edit your LUIS app programmatically, use the [Authoring API](https://go.microsoft.com/fwlink/?linkid=2092087). See [Call LUIS authoring API](./get-started-get-model-rest-apis.md) and [Build a LUIS app programmatically using Node.js](./luis-tutorial-node-import-utterances-csv.md) for examples of how to call the Authoring API. The Authoring API requires that you use an [authoring key](luis-concept-keys.md#azure-resources-for-luis) rather than an endpoint key. Programmatic authoring allows up to 1,000,000 calls per month and five transactions per second. For more info on the keys you use with LUIS, see [Manage keys](./luis-concept-keys.md).
 
 ### Where is the Pattern feature that provided regular expression matching?
 The previous **Pattern feature** is currently deprecated, replaced by **[Patterns](luis-concept-patterns.md)**.
diff --git a/articles/cognitive-services/QnAMaker/Quickstarts/create-publish-kb-nodejs-sdk.md b/articles/cognitive-services/QnAMaker/Quickstarts/create-publish-kb-nodejs-sdk.md
@@ -22,7 +22,7 @@ Use the QnA Maker client library for Node.js to:
 * Manage a knowledge base
 * Publish a knowledge base
 
-[Reference documentation](https://docs.microsoft.com/javascript/api/azure-cognitiveservices-textanalytics) | [Library source code](https://github.com/Azure/azure-sdk-for-js/tree/master/sdk/cognitiveservices/Knowledge.QnAMaker) | [Package (NPM)](https://www.npmjs.com/package/@azure/cognitiveservices-qnamaker) | [Node.js Samples](https://github.com/Azure-Samples/cognitive-services-qnamaker-nodejs/blob/master/documentation-samples/quickstarts/knowledgebase_quickstart/knowledgebase_quickstart.js)
+[Reference documentation](https://docs.microsoft.com/javascript/api/@azure/cognitiveservices-textanalytics) | [Library source code](https://github.com/Azure/azure-sdk-for-js/tree/master/sdk/cognitiveservices/Knowledge.QnAMaker) | [Package (NPM)](https://www.npmjs.com/package/@azure/cognitiveservices-qnamaker) | [Node.js Samples](https://github.com/Azure-Samples/cognitive-services-qnamaker-nodejs/blob/master/documentation-samples/quickstarts/knowledgebase_quickstart/knowledgebase_quickstart.js)
 
 [!INCLUDE [Custom subdomains notice](../../../../includes/cognitive-services-custom-subdomains-note.md)]
 
diff --git a/articles/cognitive-services/text-analytics/includes/quickstarts/nodejs-sdk.md b/articles/cognitive-services/text-analytics/includes/quickstarts/nodejs-sdk.md
@@ -8,7 +8,7 @@ ms.author: aahi
 
 <a name="HOLTop"></a>
 
-[Reference documentation](https://docs.microsoft.com/javascript/api/azure-cognitiveservices-textanalytics) | [Library source code](https://github.com/Azure/azure-sdk-for-node/tree/master/lib/services/cognitiveServicesTextAnalytics) | [Package (NPM)](https://www.npmjs.com/package/azure-cognitiveservices-textanalytics) | [Samples](https://github.com/Azure-Samples/cognitive-services-node-sdk-samples/)
+[Reference documentation](https://docs.microsoft.com/javascript/api/@azure/cognitiveservices-textanalytics) | [Library source code](https://github.com/Azure/azure-sdk-for-node/tree/master/lib/services/cognitiveServicesTextAnalytics) | [Package (NPM)](https://www.npmjs.com/package/azure-cognitiveservices-textanalytics) | [Samples](https://github.com/Azure-Samples/cognitive-services-node-sdk-samples/)
 
 ## Prerequisites
 
@@ -57,7 +57,7 @@ Your app's `package.json` file will be updated with the dependencies.
 
 ## Object model
 
-The Text Analytics client is a [TextAnalyticsClient](https://docs.microsoft.com/javascript/api/azure-cognitiveservices-textanalytics/textanalyticsclient?view=azure-node-latest) object that authenticates to Azure using your key. The client provides several methods for analyzing text, as a single string, or a batch.
+The Text Analytics client is a [TextAnalyticsClient](https://docs.microsoft.com/javascript/api/@azure/cognitiveservices-textanalytics/textanalyticsclient) object that authenticates to Azure using your key. The client provides several methods for analyzing text, as a single string, or a batch.
 
 Text is sent to the API as a list of `documents`, which are `dictionary` objects containing a combination of `id`, `text`, and `language` attributes depending on the method used. The `text` attribute stores the text to be analyzed in the origin `language`, and the `id` can be any value. 
 
@@ -74,14 +74,14 @@ The response object is a list containing the analysis information for each docum
 
 ## Authenticate the client
 
-Create a new [TextAnalyticsClient](https://docs.microsoft.com/javascript/api/azure-cognitiveservices-textanalytics/textanalyticsclient?view=azure-node-latest) object with `credentials` and `endpoint` as a parameter.
+Create a new [TextAnalyticsClient](https://docs.microsoft.com/javascript/api/@azure/cognitiveservices-textanalytics/textanalyticsclient) object with `credentials` and `endpoint` as a parameter.
 
 [!code-javascript[Authentication and client creation](~/cognitive-services-node-sdk-samples/Samples/textAnalytics.js?name=authentication)]
 
 
 ## Sentiment analysis
 
-Create a list of dictionary objects, containing the documents you want to analyze. Call the client's [sentiment()](https://docs.microsoft.com/javascript/api/azure-cognitiveservices-textanalytics/textanalyticsclient?view=azure-node-latest#sentiment-object-) method and get the returned [SentimentBatchResult](https://docs.microsoft.com/javascript/api/azure-cognitiveservices-textanalytics/sentimentbatchresult?view=azure-node-latest). Iterate through the list of results, and print each document's ID and sentiment score. A score closer to 0 indicates a negative sentiment, while a score closer to 1 indicates a positive sentiment.
+Create a list of dictionary objects, containing the documents you want to analyze. Call the client's [sentiment()](https://docs.microsoft.com/javascript/api/@azure/cognitiveservices-textanalytics/textanalyticsclient#sentiment-models-textanalyticsclientsentimentoptionalparams-) method and get the returned [SentimentBatchResult](https://docs.microsoft.com/javascript/api/@azure/cognitiveservices-textanalytics/sentimentbatchresult). Iterate through the list of results, and print each document's ID and sentiment score. A score closer to 0 indicates a negative sentiment, while a score closer to 1 indicates a positive sentiment.
 
 [!code-javascript[Sentiment analysis](~/cognitive-services-node-sdk-samples/Samples/textAnalytics.js?name=sentimentAnalysis)]
 
@@ -98,7 +98,7 @@ Run your code with `node index.js` in your console window.
 
 ## Language detection
 
-Create a list of dictionary objects containing your documents. Call the client's [detectLanguage()](https://docs.microsoft.com/javascript/api/azure-cognitiveservices-textanalytics/textanalyticsclient?view=azure-node-latest#detectlanguage-object-) method and get the returned [LanguageBatchResult](https://docs.microsoft.com/javascript/api/azure-cognitiveservices-textanalytics/languagebatchresult?view=azure-node-latest). Then iterate through the results, and print each document's ID, and language.
+Create a list of dictionary objects containing your documents. Call the client's [detectLanguage()](https://docs.microsoft.com/javascript/api/@azure/cognitiveservices-textanalytics/textanalyticsclient#detectlanguage-models-textanalyticsclientdetectlanguageoptionalparams-) method and get the returned [LanguageBatchResult](https://docs.microsoft.com/javascript/api/@azure/cognitiveservices-textanalytics/languagebatchresult). Then iterate through the results, and print each document's ID, and language.
 
 [!code-javascript[Language detection](~/cognitive-services-node-sdk-samples/Samples/textAnalytics.js?name=languageDetection)]
 
@@ -114,7 +114,7 @@ Document ID: 3 , Language: Chinese_Simplified
 
 ## Entity recognition
 
-Create a list of objects, containing your documents. Call the client's [entities()](https://docs.microsoft.com/javascript/api/azure-cognitiveservices-textanalytics/textanalyticsclient?view=azure-node-latest#entities-object-) method and get the [EntitiesBatchResult](https://docs.microsoft.com/javascript/api/azure-cognitiveservices-textanalytics/entitiesbatchresult?view=azure-node-latest) object. Iterate through the list of results, and print each document's ID. For each detected entity, print its wikipedia name, the type and sub-types (if exists) as well as the locations in the original text.
+Create a list of objects, containing your documents. Call the client's [entities()](https://docs.microsoft.com/javascript/api/@azure/cognitiveservices-textanalytics/textanalyticsclient#entities-models-textanalyticscliententitiesoptionalparams-) method and get the [EntitiesBatchResult](https://docs.microsoft.com/javascript/api/@azure/cognitiveservices-textanalytics/entitiesbatchresult) object. Iterate through the list of results, and print each document's ID. For each detected entity, print its wikipedia name, the type and sub-types (if exists) as well as the locations in the original text.
 
 [!code-javascript[Entity recognition](~/cognitive-services-node-sdk-samples/Samples/textAnalytics.js?name=entityRecognition)]
 
@@ -152,7 +152,7 @@ Document ID: 2
 
 ## Key phrase extraction
 
-Create a list of objects, containing your documents. Call the client's [keyPhrases()](https://docs.microsoft.com/javascript/api/azure-cognitiveservices-textanalytics/textanalyticsclient?view=azure-node-latest#keyphrases-object-) method and get the returned     [KeyPhraseBatchResult](https://docs.microsoft.com/javascript/api/azure-cognitiveservices-textanalytics/keyphrasebatchresult?view=azure-node-latest) object. Iterate through the results and print each document's ID, and any detected key phrases.
+Create a list of objects, containing your documents. Call the client's [keyPhrases()](https://docs.microsoft.com/javascript/api/@azure/cognitiveservices-textanalytics/textanalyticsclient#keyphrases-models-textanalyticsclientkeyphrasesoptionalparams-) method and get the returned     [KeyPhraseBatchResult](https://docs.microsoft.com/javascript/api/@azure/cognitiveservices-textanalytics/keyphrasebatchresult) object. Iterate through the results and print each document's ID, and any detected key phrases.
 
 [!code-javascript[Key phrase extraction](~/cognitive-services-node-sdk-samples/Samples/textAnalytics.js?name=keyPhraseExtraction)]
 
diff --git a/articles/container-instances/container-instances-troubleshooting.md b/articles/container-instances/container-instances-troubleshooting.md
@@ -228,7 +228,7 @@ If you want to confirm that Azure Container Instances can listen on the port you
 Learn how to [retrieve container logs and events](container-instances-get-logs.md) to help debug your containers.
 
 <!-- LINKS - External -->
-[azure-name-restrictions]: https://docs.microsoft.com/azure/cloud-adoption-framework/ready/considerations/naming-and-tagging#resource-naming
+[azure-name-restrictions]: https://docs.microsoft.com/azure/cloud-adoption-framework/ready/azure-best-practices/naming-and-tagging#naming-and-tagging-resources
 [windows-sac-overview]: https://docs.microsoft.com/windows-server/get-started/semi-annual-channel-overview
 [docker-multi-stage-builds]: https://docs.docker.com/engine/userguide/eng-image/multistage-build/
 [docker-hub-windows-core]: https://hub.docker.com/_/microsoft-windows-servercore
