Update articles/machine-learning/how-to-safely-rollout-online-endpoints.md

Co-authored-by: SeokJin Han <[email protected]>

Author: msakande

articles/machine-learning/how-to-safely-rollout-online-endpoints.md

@@ -581,7 +581,7 @@ Mirroring has the following limitations:
 Also note the following behaviors:
 
 * A deployment can be configured to receive only live traffic or mirrored traffic, not both.
-* When you invoke an endpoint, you can specify the name of any of its deployments—even a shadow deployment—to receive incoming traffic.
+* When you invoke an endpoint, you can specify the name of any of its deployments — even a shadow deployment — to return the prediction.
 * When you invoke an endpoint with the name of the deployment that will receive incoming traffic, Azure Machine Learning won't mirror traffic to the shadow deployment. Azure Machine Learning mirrors traffic to the shadow deployment from traffic sent to the endpoint when you don't specify a deployment.
 
 Now, let's set the green deployment to receive 10% of mirrored traffic. Clients will still receive predictions from the blue deployment only.