Update how-to-manage-quotas.md

Author: SimranArora904

articles/machine-learning/how-to-manage-quotas.md

@@ -125,7 +125,7 @@ The following table shows more limits in the platform. Reach out to the Azure Ma
 ### Azure Machine Learning shared quota
 Azure Machine Learning provides a pool of shared quota that is available for different users across various regions to use concurrently. Depending upon availability, users can temporarily access quota from the shared pool, and use the quota to perform testing for a limited amount of time. The specific time duration depends on the use case. By temporarily using quota from the quota pool, you no longer need to file a support ticket for a short-term quota increase or wait for your quota request to be approved before you can proceed with your workload. 
 
-Use of the shared quota pool is available for running Spark jobs and for testing inferencing for Llama models from the Model Catalog. You should use the shared quota only for creating temporary test endpoints, not production endpoints. For endpoints in production, you should request dedicated quota by filing a support ticket. Billing for shared quota is usage-based, just like billing for dedicated virtual machine families.
+Use of the shared quota pool is available for running Spark jobs and for testing inferencing for Llama models from the Model Catalog. You should use the shared quota only for creating temporary test endpoints, not production endpoints. For endpoints in production, you should request dedicated quota by [filing a support ticket](https://ml.azure.com/quota). Billing for shared quota is usage-based, just like billing for dedicated virtual machine families.
 
 ### Azure Machine Learning managed online endpoints