fixed validation warnings

Author: HeidiSteen

articles/search/index-sql-relational-data.md

@@ -107,7 +107,7 @@ This rowset is now ready for import into Azure Cognitive Search.
 
 On the Azure Cognitive Search side, create an index schema that models the one-to-many relationship using nested JSON. The result set you created in the previous section generally corresponds to the index schema provided below (we cut some fields for brevity).
 
-The following example is similar to the example in [How to model complex data types](search-howto-complex-data-types.md#creating-complex-fields). The *Rooms* structure, which has been the focus of this article, is in the fields collection of an index named *hotels*. This example also shows a complex type for *Address*, which differs from *Rooms* in that it is composed of a fixed set of items, as opposed to the multiple, arbitrary number of items allowed in a collection.
+The following example is similar to the example in [How to model complex data types](search-howto-complex-data-types.md#create-complex-fields). The *Rooms* structure, which has been the focus of this article, is in the fields collection of an index named *hotels*. This example also shows a complex type for *Address*, which differs from *Rooms* in that it is composed of a fixed set of items, as opposed to the multiple, arbitrary number of items allowed in a collection.
 
 ```json
 {

articles/search/search-howto-complex-data-types.md

@@ -1,5 +1,5 @@
 ---
-title: How to model complex data types
+title: Model complex data types
 titleSuffix: Azure Cognitive Search
 description: Nested or hierarchical data structures can be modeled in an Azure Cognitive Search index using ComplexType and Collections data types.
 
@@ -8,11 +8,11 @@ author: brjohnstmsft
 ms.author: brjohnst
 tags: complex data types; compound data types; aggregate data types
 ms.service: cognitive-search
-ms.topic: conceptual
+ms.topic: how-to
 ms.date: 11/17/2021
 ---
 
-# How to model complex data types in Azure Cognitive Search
+# Model complex data types in Azure Cognitive Search
 
 External datasets used to populate an Azure Cognitive Search index can come in many shapes. Sometimes they include hierarchical or nested substructures. Examples might include multiple addresses for a single customer, multiple colors and sizes for a single SKU, multiple authors of a single book, and so on. In modeling terms, you might see these structures referred to as *complex*, *compound*, *composite*, or *aggregate* data types. The term Azure Cognitive Search uses for this concept is **complex type**. In Azure Cognitive Search, complex types are modeled using **complex fields**. A complex field is a field that contains children (sub-fields) which can be of any data type, including other complex types. This works in a similar way as structured data types in a programming language.