acrolinx fixes

Author: HeidiSteen

articles/search/search-security-rbac.md

@@ -23,10 +23,10 @@ Azure provides a global [role-based access control authorization system](../role
 
 + Data plane operations, such as creating, loading, and querying indexes.
 
-Per-user access over search results (sometimes referred to as row-level security or document-level security) isn't supported. As a workaround, [create security filters](search-security-trimming-for-azure-search.md) that trim results by user identity, removing documents for which the requestor shouldn't have access.
+Per-user access over search results (sometimes referred to as *row-level security* or *document-level security*) isn't supported. As a workaround, [create security filters](search-security-trimming-for-azure-search.md) that trim results by user identity, removing documents for which the requestor shouldn't have access.
 
 > [!NOTE]
-> A quick note about terminology. "Control plane" refers to operations supported in the [Management REST API](/rest/api/searchmanagement/) or equivalent client libraries. "Data plane" refers to operations against the search service endpoint, such as indexing or queries, or any other operation specified in the [Search REST API](/rest/api/searchservice/) or equivalent client libraries.
+> A quick note about terminology. *Control plane* refers to operations supported in the [Management REST API](/rest/api/searchmanagement/) or equivalent client libraries. *Data plane* refers to operations against the search service endpoint, such as indexing or queries, or any other operation specified in the [Search REST API](/rest/api/searchservice/) or equivalent client libraries.
 
 ## Built-in roles used in Search
 
@@ -197,7 +197,7 @@ Make sure that you [register your client application with Microsoft Entra ID](se
 
    + Search Index Data Contributors can load and query documents. To verify permissions, run the [Import data wizard](search-get-started-portal.md).
 
-   + Search Index Data Readers can query the index. To verfiy permissions, use [Search explorer](search-explorer.md). You should be able to send queries and view results, but you shouldn't be able to view the index definition.
+   + Search Index Data Readers can query the index. To verify permissions, use [Search explorer](search-explorer.md). You should be able to send queries and view results, but you shouldn't be able to view the index definition.
 
 ### [**REST API**](#tab/test-rest)
 
@@ -253,7 +253,7 @@ For more information on how to acquire a token for a specific environment, see [
 
 1. Use [Azure.Identity for .NET](/dotnet/api/overview/azure/identity-readme) for token authentication. Microsoft recommends [`DefaultAzureCredential()`](/dotnet/api/azure.identity.defaultazurecredential) for most scenarios.
 
-   + When obtaining the OAuth token, the scope is `https://search.azure.com/.default`. The SDK requires the audience to be `https://search.azure.com` The `.default` is a Microsoft Entra convention.
+   + The SDK requires the scope to be `https://search.azure.com/.default`. The audience is `https://search.azure.com`. The `.default` suffix is a Microsoft Entra convention.
 
    + The SDK validates that the user has the "user_impersonation" scope, which must be granted by your app, but the SDK itself just asks for `https://search.azure.com/.default`.
 
@@ -548,17 +548,17 @@ To re-enable key authentication, rerun the last request, setting "disableLocalAu
 
 ## Conditional Access
 
-[Conditional Access](../active-directory/conditional-access/overview.md) is a tool in Microsoft Entra ID used to enforce organizational policies. By using Conditional Access policies, you can apply the right access controls when needed to keep your organization secure. When accessing an Azure AI Search service using role-based access control, Conditional Access can enforce organizational policies.
+We recommend [Microsoft Entra Conditional Access](/entra/identity/conditional-access/overview) if you need to enforce organizational policies, such as multifactor authentication.
 
-To enable a Conditional Access policy for Azure AI Search, follow the below steps:
+To enable a Conditional Access policy for Azure AI Search, follow these steps:
 
 1. [Sign in](https://portal.azure.com) to the Azure portal.
 
 1. Search for **Microsoft Entra Conditional Access**.
 
 1. Select **Policies**.
 
-1. Select **+ New policy**.
+1. Select **New policy**.
 
 1. In the **Cloud apps or actions** section of the policy, add **Azure AI Search** as a cloud app depending on how you want to set up your policy.
 

articles/search/search-what-is-azure-search.md

@@ -55,7 +55,7 @@ Azure AI Search is well suited for the following application scenarios:
 
 + Use it for traditional full text search and next-generation vector similarity search. Back your generative AI apps with information retrieval that leverages the strength of keyword and similarity search. Use both modalities to retrieve the most relevant results.
 
-+ Consolidate heterogeneous content into a user-defined and populated search index composed of vectors and text. You own and control what's searchable.
++ Consolidate heterogeneous content into a user-defined and populated search index composed of vectors and text. You maintain ownership and control over what's searchable.
 
 + [Integrate data chunking and vectorization](vector-search-integrated-vectorization.md) for generative AI and RAG apps.
 
@@ -109,17 +109,10 @@ Customers often ask how Azure AI Search compares with other search-related solut
 
 Key strengths include:
 
-+ Support for vector and nonvector (text) indexing and queries. With vector similarity search, you can find information that’s semantically similar to search queries, even if the search terms aren’t exact matches. 
-+ Use hybrid search for the best of keyword and vector search.
-+ Ranking and relevance tuning through semantic ranking and scoring profiles.
++ Support for vector and nonvector (text) indexing and queries. With vector similarity search, you can find information that’s semantically similar to search queries, even if the search terms aren’t exact matches. Use hybrid search for the best of keyword and vector search.
++ Ranking and relevance tuning through semantic ranking and scoring profiles. Query syntax supports term boosting and field prioritization.
 + Azure data integration (crawlers) at the indexing layer.
 + Azure AI integration for transformations that make content text and vector searchable.
 + Microsoft Entra security for trusted connections, and Azure Private Link for private connections in no-internet scenarios.
 + [Full search experience](search-features-list.md): Linguistic and custom text analysis in 56 languages. Faceting, autocomplete queries and suggested results, and synonyms.
 + Azure scale, reliability, and global reach.
-
-<!-- ## Watch this video
-
-In this 15-minute video, review the main capabilities of Azure AI Search.
-
->[!VIDEO https://www.youtube.com/embed/kOJU0YZodVk?version=3] -->