Merge pull request #225562 from pritamso/Broken-link-fix-mrbullwinkle

Broken link fix

Author: prmerger-automator[bot]

articles/cognitive-services/Anomaly-Detector/includes/quickstarts/anomaly-detector-client-library-python-multivariate.md

@@ -43,12 +43,12 @@ pip install pandas
 
 ### Download sample data
 
-This quickstart uses the `sample_data_5_3000.zip` file that can be downloaded from our [GitHub sample data](https://github.com/Azure-Samples/AnomalyDetector/blob/master/samples-multivariate/multivariate_sample_data/sample_data_5_3000.zip)
+This quickstart uses the `sample_data_5_3000.zip` file that can be downloaded from our [GitHub sample data](https://github.com/Azure-Samples/AnomalyDetector/blob/master/sampledata/multivariate/multivariate_sample_data_5_3000.zip)
 
  You can also download the sample data by running:
 
 ```cmd
-curl "https://github.com/Azure-Samples/AnomalyDetector/blob/master/samples-multivariate/multivariate_sample_data/sample_data_5_3000.zip" --output sample_data_5_3000_.zip
+curl "https://github.com/Azure-Samples/AnomalyDetector/blob/master/sampledata/multivariate/multivariate_sample_data_5_3000.zip" --output sample_data_5_3000_.zip
 ```
 
 ### Generate SAS URL
@@ -258,4 +258,4 @@ We also have an [in-depth Jupyter Notebook](https://github.com/Azure-Samples/Ano
 If you want to clean up and remove an Anomaly Detector resource, you can delete the resource or resource group. Deleting the resource group also deletes any other resources associated with it. You also may want to consider [deleting the environment variables](/powershell/module/microsoft.powershell.core/about/about_environment_variables#using-the-environment-provider-and-item-cmdlets) you created if you no longer intend to use them.
 
 * [Portal](../../../cognitive-services-apis-create-account.md#clean-up-resources)
-* [Azure CLI](../../../cognitive-services-apis-create-account-cli.md#clean-up-resources)
+* [Azure CLI](../../../cognitive-services-apis-create-account-cli.md#clean-up-resources)

articles/cognitive-services/Anomaly-Detector/includes/quickstarts/anomaly-detector-client-library-python.md

@@ -162,9 +162,9 @@ Anomaly detected at index:      44
 
 ### Understanding your results
 
-In our code above, we call the Anomaly Detector API twice. The first call checks for trend change points across our sample data series with the [`detect_change_point`](/python/api/azure-ai-anomalydetector/azure.ai.anomalydetector.operations.anomalydetectorclientoperationsmixin?view=azure-python-preview#azure-ai-anomalydetector-operations-anomalydetectorclientoperationsmixin-detect-change-point&preserve-view=true) method. This call returns a [`ChangePointDetectResponse`](/python/api/azure-ai-anomalydetector/azure.ai.anomalydetector.models.changepointdetectresponse?view=azure-python-preview&preserve-view=true) that we stored in a variable we named `change_point_request`. We then iterate through the response's `is_change_point` list, and print the index of any values with a boolean of `true`.
+In our code above, we call the Anomaly Detector API twice. The first call checks for trend change points across our sample data series with the `detect_change_point` method. This call returns a `ChangePointDetectResponse` that we stored in a variable we named `change_point_request`. We then iterate through the response's `is_change_point` list, and print the index of any values with a boolean of `true`.
 
-The second call checks the entire sample data series for anomalies using the [`detect_entire_series`](/python/api/azure-ai-anomalydetector/azure.ai.anomalydetector.operations.anomalydetectorclientoperationsmixin?view=azure-python-preview#azure-ai-anomalydetector-operations-anomalydetectorclientoperationsmixin-detect-entire-series&preserve-view=true) method. This call returns a [`EntireDetectResponse`](/python/api/azure-ai-anomalydetector/azure.ai.anomalydetector.models.entiredetectresponse?view=azure-python-preview&preserve-view=true) that we stored in a variable we named `anomaly_response`. We iterate through the response's `is_anomaly` list, and print the index of any values with a boolean of `true`. Alternatively, we could have used the [`detect_last_point`](/python/api/azure-ai-anomalydetector/azure.ai.anomalydetector.operations.anomalydetectorclientoperationsmixin?view=azure-python-preview#azure-ai-anomalydetector-operations-anomalydetectorclientoperationsmixin-detect-last-point&preserve-view=true) method, which is more appropriate for detecting anomalies in real-time data. To learn more, consult the [best practices guide](../../concepts/anomaly-detection-best-practices.md).
+The second call checks the entire sample data series for anomalies using the `detect_entire_series` method. This call returns a `EntireDetectResponse` that we stored in a variable we named `anomaly_response`. We iterate through the response's `is_anomaly` list, and print the index of any values with a boolean of `true`. Alternatively, we could have used the `detect_last_point` method, which is more appropriate for detecting anomalies in real-time data. To learn more, consult the [best practices guide](../../concepts/anomaly-detection-best-practices.md).
 
 ## Visualize results
 

articles/cognitive-services/Anomaly-Detector/whats-new.md

@@ -98,7 +98,7 @@ We've also added links to some user-generated content. Those items will be marke
 * September 2020 [Multivariate Time-series Anomaly Detection via Graph Attention Network](https://arxiv.org/abs/2009.02040) - Paper on multivariate anomaly detection accepted by ICDM 2020
 * November 5, 2019 [Overview of SR-CNN algorithm in Azure Anomaly Detector](https://techcommunity.microsoft.com/t5/ai-customer-engineering-team/overview-of-sr-cnn-algorithm-in-azure-anomaly-detector/ba-p/982798) - Technical blog on SR-CNN
 * June 10, 2019 [Time-Series Anomaly Detection Service at Microsoft](https://arxiv.org/abs/1906.03821) - Paper on SR-CNN accepted by KDD 2019
-* April 25, 2019 **[UGC]** [Trying the Cognitive Service: Anomaly Detector API (in Japanese)](https://azure-recipe.kc-cloud.jp/2019/04/cognitive-service-anomaly-detector-api/)
+* April 25, 2019 **[UGC]** [Trying the Cognitive Service: Anomaly Detector API (in Japanese)](/ja-jp/azure/cognitive-services/anomaly-detector/)
 * April 20, 2019 [Introducing Azure Anomaly Detector API](https://techcommunity.microsoft.com/t5/ai-customer-engineering-team/introducing-azure-anomaly-detector-api/ba-p/490162) - Announcement blog
 
 ## Videos