link fix

Author: ggailey777

articles/azure-functions/configure-monitoring.md

@@ -354,7 +354,7 @@ Function apps are an essential part of solutions that can cause high volumes of
 
 The generated telemetry can be consumed in real-time dashboards, alerting, detailed diagnostics, and so on. Depending on how the generated telemetry is consumed, you need to define a strategy to reduce the volume of data generated. This strategy allows you to properly monitor, operate, and diagnose your function apps in production. Consider the following options:
 
-+ **Use the correct table plan**:  [Table plans](../azure-monitor/logs/data-platform-logs.md#table-plans) help you manage data costs by controlling how often you use the data in a table and the kind of analysis you need to perform. To reduce costs, you can choose the `Basic` plan, which does lack some features available in the `Analytics` plan.
++ **Use the correct table plan**:  [Table plans](/azure/azure-monitor/logs/data-platform-logs#table-plans) help you manage data costs by controlling how often you use the data in a table and the kind of analysis you need to perform. To reduce costs, you can choose the `Basic` plan, which does lack some features available in the `Analytics` plan.
 
 + **Use sampling**: As mentioned [previously](#configure-sampling), sampling helps to dramatically reduce the volume of telemetry events ingested while maintaining a statistically correct analysis. It could happen that even using sampling you still get a high volume of telemetry. Inspect the options that [adaptive sampling](/azure/azure-monitor/app/sampling#configuring-adaptive-sampling-for-aspnet-applications) provides to you. For example, set the `maxTelemetryItemsPerSecond` to a value that balances the volume generated with your monitoring needs. Keep in mind that the telemetry sampling is applied per host executing your function app.