Update how-to-manage-quotas.md

Corrected pre-existing issues reported by Acrolinx Correctness

Author: PMEds28

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

@@ -149,7 +149,7 @@ To request an exception from the Azure Machine Learning product team, use the st
 
 <sup>4</sup> We reserve 20% extra compute resources for performing upgrades. For example, if you request 10 instances in a deployment, you must have a quota for 12. Otherwise, you receive an error. There are some VM SKUs that are exempt from extra quota. See [virtual machine quota allocation for deployment](how-to-deploy-online-endpoints.md#virtual-machine-quota-allocation-for-deployment) for more.
 
-<sup>5</sup> Requests per second, connections, bandwidth etc are related. If you request for increase for any of these limits, ensure estimating/calculating other related limites together.
+<sup>5</sup> Requests per second, connections, bandwidth etc. are related. If you request an increase for any of these limits, ensure estimating/calculating other related limits together.
 
 ### Azure Machine Learning pipelines
 [Azure Machine Learning pipelines](concept-ml-pipelines.md) have the following limits.