acrolinx

Author: Larry Franks

articles/machine-learning/how-to-create-manage-compute-instance.md

@@ -269,7 +269,7 @@ The data scientist can start, stop, and restart the compute instance. They can u
 
 Define multiple schedules for auto-shutdown and auto-start. For instance, create a schedule to start at 9 AM and stop at 6 PM from Monday-Thursday, and a second schedule to start at 9 AM and stop at 4 PM for Friday.  You can create a total of four schedules per compute instance.
 
-Schedules can also be defined for [create on behalf of](#create-on-behalf-of-preview) compute instances. You can create a schedule that creates the compute instance in a stopped state. Stopped compute instances are particularly useful when you create a compute instance on behalf of another user.
+Schedules can also be defined for [create on behalf of](#create-on-behalf-of-preview) compute instances. You can create a schedule that creates the compute instance in a stopped state. Stopped compute instances are useful when you create a compute instance on behalf of another user.
 
 ### Create a schedule in studio
 
@@ -430,7 +430,7 @@ Following is a sample policy to default a shutdown schedule at 10 PM PST.
 
 ## Assign managed identity (preview)
 
-You can assign a system- or user-assigned [managed identity](/azure/active-directory/managed-identities-azure-resources/overview) to a compute instance, to autheticate against other Azure resources such as storage. Using managed identities for authentication helps improve workspace security and management. For example you can allow users to access training data only when logged in to compute instance, or use a common user-assigned managed identity to permit access to a specific storage account. 
+You can assign a system- or user-assigned [managed identity](/azure/active-directory/managed-identities-azure-resources/overview) to a compute instance, to authenticate against other Azure resources such as storage. Using managed identities for authentication helps improve workspace security and management. For example, you can allow users to access training data only when logged in to a compute instance. Or use a common user-assigned managed identity to permit access to a specific storage account. 
 
 You can create compute instance with managed identity from Azure ML Studio:
 
@@ -466,7 +466,7 @@ identity:
 
 Once the managed identity is created, enable [identity-based data access enabled](how-to-datastore.md) to your storage accounts for that identity. Then, when you work on the compute instance, the managed identity is used automatically to authenticate against data stores.
 
-You can also use the managed identity manually to authenticate against other Azure resources. For example, to use it to get ARM access token, use following.
+You can also use the managed identity manually to authenticate against other Azure resources. The following example shows how to use it to get an Azure Resource Manager access token:
 
 ```python
 import requests