Addressing acrolinx

Author: santiagxf

articles/machine-learning/how-to-deploy-mlflow-models-online-endpoints.md

@@ -51,7 +51,7 @@ For no-code-deployment, Azure Machine Learning
 
 [!INCLUDE [clone repo & set defaults](../../includes/machine-learning-cli-prepare.md)]
 
-In this code snippets used in this article, the `ENDPOINT_NAME` environment variable contains the name of the endpoint to create and use. To set this, use the following command from the CLI. Replace `<YOUR_ENDPOINT_NAME>` with the name of your endpoint:
+In this code snippet used in this article, the `ENDPOINT_NAME` environment variable contains the name of the endpoint to create and use. To set this, use the following command from the CLI. Replace `<YOUR_ENDPOINT_NAME>` with the name of your endpoint:
 
 :::code language="azurecli" source="~/azureml-examples-main/cli/deploy-managed-online-endpoint-mlflow.sh" ID="set_endpoint_name":::