Update search-index-access-control-lists-and-rbac-push-api.md

Fixing typo with broken link

Author: gmndrg

articles/search/search-index-access-control-lists-and-rbac-push-api.md

@@ -4,7 +4,7 @@ titleSuffix: Azure AI Search
 description: Learn how to use the REST API for indexing documents with ACLs and RBAC metadata.  
 ms.service: azure-ai-search  
 ms.topic: conceptual  
-ms.date: 05/09/2025  
+ms.date: 05/19/2025  
 author: admayber
 ms.author: admayber  
 ---  
@@ -16,7 +16,7 @@ ms.author: admayber
 Indexing documents, along with their associated [Access Control Lists (ACLs)](/azure/storage/blobs/data-lake-storage-access-control) and container [Role-Based Access Control (RBAC) roles](/azure/role-based-access-control/overview), into an Azure AI Search index via the [REST API](/rest/api/searchservice/) offers fine-grained control over the indexing pipeline. This approach enables the inclusion of document entries with precise, document-level permissions directly within the index. This article explains how to use the REST API to index document-level permissions' metadata in Azure AI Search. This process prepares your index to query and enforce end-user permissions.
 
 ## Supported scenarios  
-- Indexing ACLs metadata from [ENTRA-based](/entra/fundamentals/whatis), POSIX-style ACL systems, such as [Azure Data Lake Storage (ADLS) Gen2].(/azure/storage/blobs/data-lake-storage-introduction)
+- Indexing ACLs metadata from [ENTRA-based](/entra/fundamentals/whatis), POSIX-style ACL systems, such as [Azure Data Lake Storage (ADLS) Gen2](/azure/storage/blobs/data-lake-storage-introduction)
 - Indexing RBAC container metadata from ADLS Gen2.
 
 ### Limitations