Update articles/ai-services/openai/concepts/provisioned-throughput.md

Co-authored-by: Michael  <[email protected]>

Author: AmarBadal

articles/ai-services/openai/concepts/provisioned-throughput.md

@@ -25,7 +25,7 @@ The provisioned throughput capability allows you to specify the amount of throug
 - **Cost savings:** High throughput workloads might provide cost savings vs token-based consumption.
 
 > [!NOTE]
-> Customers can avail additional cost savings on provisioned deployments when they buy [Microsoft Azure OpenAI service reservations](https://learn.microsoft.com/en-us/azure/cost-management-billing/reservations/azure-openai#buy-a-microsoft-azure-openai-service-reservation). 
+> Customers can take advantage of additional cost savings on provisioned deployments when they buy [Microsoft Azure OpenAI Service reservations](/azure/cost-management-billing/reservations/azure-openai#buy-a-microsoft-azure-openai-service-reservation). 
 
 
 An Azure OpenAI Deployment is a unit of management for a specific OpenAI Model. A deployment provides customer access to a model for inference and integrates more features like Content Moderation ([See content moderation documentation](content-filter.md)). Global provisioned deployments are available in the same Azure OpenAI resources as all other deployment types but allow you to leverage Azure's global infrastructure to dynamically route traffic to the data center with the best availability for each request. Similarly, data zone provisioned deployments are also available in the same resources as all other deployment types but allow you to leverage Azure's global infrastructure to dynamically route traffic to the data center within the Microsoft specified data zone with the best availability for each request.