Merge pull request #1539 from PatrickFarley/openai-deployment-type

update deployment type language

Author: prmerger-automator[bot]

articles/ai-services/openai/how-to/deployment-types.md

@@ -32,6 +32,7 @@ Data zone deployments leverage Azure's global infrastructure to dynamically rout
 
 If the Azure OpenAI resource used in your Data Zone deployment is located in the United States, the data will be processed within the United States. If the Azure OpenAI resource used in your Data Zone deployment is located in a European Union Member Nation, the data will be processed within the European Union Member Nation geographies. For all Azure OpenAI service deployment types, any data stored at rest will continue to remain in the geography of the Azure OpenAI resource. Azure data processing and compliance commitments remain applicable.
 
+For any [deployment type](/azure/ai-services/openai/how-to/deployment-types) labeled 'Global,' prompts and responses may be processed in any geography where the relevant Azure OpenAI model is deployed (learn more about [region availability of models](/azure/ai-services/openai/concepts/models#model-summary-table-and-region-availability)). For any deployment type labeled as 'DataZone,' prompts and responses may be processed in any geography within the specified data zone, as defined by Microsoft. If you create a DataZone deployment in an Azure OpenAI resource located in the United States, prompts and responses may be processed anywhere within the United States. If you create a DataZone deployment in an Azure OpenAI resource located in a European Union Member Nation, prompts and responses may be processed in that or any other European Union Member Nation. For both Global and DataZone deployment types, any data stored at rest, such as uploaded data, is stored in the customer-designated geography. Only the location of processing is affected when a customer uses a Global deployment type or DataZone deployment type in Azure OpenAI Service; Azure data processing and compliance commitments remain applicable.
 ## Deployment types
 
 Azure OpenAI offers three types of deployments. These provide a varied level of capabilities that provide trade-offs on: throughput, SLAs, and price. Below is a summary of the options followed by a deeper description of each.