Add more descriptive link text.

Author: vmagelo

articles/azure-functions/python-scale-performance-reference.md

@@ -117,7 +117,7 @@ For I/O-bound apps, you should see substantial gains by increasing the number of
 For mixed workloads apps, you should balance both `FUNCTIONS_WORKER_PROCESS_COUNT` and `PYTHON_THREADPOOL_THREAD_COUNT` configurations to maximize the throughput. To understand what your function apps spend the most time on, we recommend profiling them and setting the values according to their behaviors. To learn about these application settings, see [Use multiple worker processes](#use-multiple-language-worker-processes).
 
 > [!NOTE]
->  Although these recommendations apply to both HTTP and non-HTTP triggered functions, you might need to adjust other trigger specific configurations for non-HTTP triggered functions to get the expected performance from your function apps. For more information about this, please refer to this [article](functions-best-practices.md).
+>  Although these recommendations apply to both HTTP and non-HTTP triggered functions, you might need to adjust other trigger specific configurations for non-HTTP triggered functions to get the expected performance from your function apps. For more information about this, please refer to this [Best practices for reliable Azure Functions](functions-best-practices.md).
 
 
 #### Managing event loop