Update how-to-deploy-and-where.md

Author: jpe316

articles/machine-learning/service/how-to-deploy-and-where.md

@@ -238,6 +238,17 @@ The following table provides an example of creating a deployment configuration f
 
 The following sections demonstrate how to create the deployment configuration, and then use it to deploy the web service.
 
+### Optional: Profile your model
+Prior to deploying your model as a service, you may want to profile it to determine optimal CPU and memory requirements.
+You can do this via the SDK or CLI.
+
+For more information, you can check out our SDK documentation here: 
+https://docs.microsoft.com/en-us/python/api/azureml-core/azureml.core.model.model?view=azure-ml-py#profile-workspace--profile-name--models--inference-config--input-data-
+
+Model profiling results are emitted as a Run object.
+Specifics on the Model Profile schema can be found here:
+https://docs.microsoft.com/en-us/python/api/azureml-core/azureml.core.profile.modelprofile?view=azure-ml-py
+
 ## Deploy to target
 
 ### <a id="local"></a> Local deployment