Update faq.yml

Author: ssalgadodev

articles/ai-foundry/model-inference/faq.yml

@@ -33,7 +33,7 @@ sections:
           - *Resource involved*: standard deployments are deployed within an AI project resource, while Foundry Models is part of the Azure AI Foundry resource.
           - *Deployment options*: standard deployments allow regional deployments, while Foundry Models allows deployments under a global capacity.
           - *Models*: Foundry Models also supports deploying Azure OpenAI models.
-          - *Endpoint*: standard deployments creates one endpoint and credential per deployment, while Foundry Models creates one endpoint and credential per resource.
+          - *Endpoint*: standard deployments create one endpoint and credential per deployment, while Foundry Models creates one endpoint and credential per resource.
           - *Model router*: Foundry Models allows you to switch between models without changing your code using a model router.
   - name: Models
     questions: