fix broken links from CATS report

Author: craigcaseyMSFT

articles/machine-learning/service/how-to-monitor-data-drift.md

@@ -93,7 +93,7 @@ print('Details of Datadrift Object:\n{}'.format(datadrift))
 
 ## Submit a DataDriftDetector run
 
-With the `DataDriftDetector` object configured, you can submit a [data drift run](https://docs.microsoft.com/en-us/python/api/azureml-datadrift/azureml.datadrift.datadriftdetector.datadriftdetector#run-target-date--services-none--compute-target-none--create-compute-target-false--feature-list-none--drift-threshold-none-) on a given date for the model. As part of the run, enable DataDriftDetector alerts by setting the `drift_threshold` parameter. If the [datadrift_coefficient](#visualize-drift-metrics) is above the given `drift_threshold`, an email is sent.
+With the `DataDriftDetector` object configured, you can submit a [data drift run](https://docs.microsoft.com/python/api/azureml-datadrift/azureml.datadrift.datadriftdetector.datadriftdetector#run-target-date--services-none--compute-target-none--create-compute-target-false--feature-list-none--drift-threshold-none-) on a given date for the model. As part of the run, enable DataDriftDetector alerts by setting the `drift_threshold` parameter. If the [datadrift_coefficient](#visualize-drift-metrics) is above the given `drift_threshold`, an email is sent.
 
 ```python
 # adhoc run today