Learn Editor: Update provisioned-throughput-onboarding.md

Author: sydneemayers

articles/ai-services/openai/how-to/provisioned-throughput-onboarding.md

@@ -27,7 +27,7 @@ You should consider switching from standard deployments to provisioned deploymen
 > [!NOTE]
 > In function calling and agent use cases, token usage can be variable. You should understand your expected Tokens Per Minute (TPM) usage in detail prior to migrating workloads to PTU.
 
-## Sizing and estimation: provisioned and global provisioned
+## Sizing and estimation: provisioned deployments
 
 Determining the right amount of provisioned throughput, or PTUs, you require for your workload is an essential step to optimizing performance and cost. If you are not familiar with the different approaches available to estimate system level throughput, review the system level throughput estimation recommendations in our [performance and latency documentation](./latency.md). This section describes how to use the Azure OpenAI capacity planning tooling to estimate the amount of PTUs required to support a given workload.
 
@@ -88,7 +88,7 @@ Customers that require long-term usage of provisioned and global provisioned dep
 > * Having unused provisioned quota (PTUs) does not guarentee that capacity will be available to support increasing the size of the deployment when required. Quota limits the maximum number of PTUs that can be deployed, but it is not a capacity guarantee. Provisioned capacity for each region and modal dynamically changes throughout the day and might not be available when required. As a result, it is recommended to maintain a permanant deployment to cover your traffic needs (paid for via a reservation).
 > * Charges for deployments on a deleted resource will continue until the resource is purged.  To prevent this, delete a resource’s deployment before deleting the resource.  For more information, see [Recover or purge deleted Azure AI services resources](../../recover-purge-resources.md). 
 
-## Azure Reservations for Azure OpenAI Provisioned and Global Provisioned
+## Azure Reservations for Azure OpenAI Provisioned Deployments
 
 Discounts on top of the hourly usage price can be obtained by purchasing an Azure Reservation for Azure OpenAI Provisioned and Global Provisioned. An Azure Reservation is a term-discounting mechanism shared by many Azure products. For example, Compute and Cosmos DB. For Azure OpenAI Provisioned and Global Provisioned, the reservation provides a discount for committing to payment for fixed number of PTUs for a one-month or one-year period.  
 
@@ -115,7 +115,7 @@ Discounts on top of the hourly usage price can be obtained by purchasing an Azur
 >
 > * The Azure role and tenant policy requirements to purchase a reservation are different than those required to create a deployment or Azure OpenAI resource.  Verify authorization to purchase reservations in advance of needing to do so. See Azure OpenAI [Provisioned reservation documentation](https://aka.ms/oai/docs/ptum-reservations) for more details.
 
-## Important: Sizing Azure OpenAI Provisioned & Global Provisioned Reservations
+## Important: Sizing Azure OpenAI Provisioned Reservations
 
 The PTU amounts in reservation purchases are independent of PTUs allocated in quota or used in deployments. It is possible to purchase a reservation for more PTUs than you have in quota, or can deploy for the desired region, model, or version.   Credits for over-purchasing a reservation are limited, and customers must take steps to ensure they maintain their reservation sizes in line with their deployed PTUs.