Update how-to-monitor-datasets.md

Author: SturgeonMi

articles/machine-learning/v1/how-to-monitor-datasets.md

@@ -119,7 +119,7 @@ With a dataset monitor you can:
 
 The data drift algorithm provides an overall measure of change in data and indication of which features are responsible for further investigation. Dataset monitors produce many other metrics by profiling new data in the `timeseries` dataset.
 
-Custom alerting can be set up on all metrics generated by the monitor through [Azure Application Insights](../../azure-monitor/app/app-insights-overview.md). Dataset monitors can be used to quickly catch data issues and reduce the time to debug the issue by identifying likely causes.
+Custom alerting can be set up on all metrics generated by the monitor through [Azure Application Insights](/azure/azure-monitor/app/app-insights-overview). Dataset monitors can be used to quickly catch data issues and reduce the time to debug the issue by identifying likely causes.
 
 Conceptually, there are three primary scenarios for setting up dataset monitors in Azure Machine Learning.