Update per engineering

Author: MikeRayMSFT

docs/sql-server/what-s-new-in-sql-server-2022.md

@@ -91,7 +91,7 @@ The following sections provide an overview of these features.
 | Parameter sensitive plan optimization | Automatically enables multiple, active cached plans for a single parameterized statement. Cached execution plans accommodate largely different data sizes based on the customer-provided runtime parameter value(s).|
 | XML compression |XML compression provides a method to compress off-row XML data for both XML columns and indexes, improving capacity requirements. For more information, see [CREATE TABLE (Transact-SQL)](../t-sql/statements/create-table-transact-sql.md) and [CREATE INDEX (Transact-SQL)](../t-sql/statements/create-index-transact-sql.md).|
 | Improved optimization | SQL Server 2022 Preview leverages new hardware capabilities - including the Advanced Vector Extension (AVX) 512 extension to improve batchmode operations. | 
-| System page latch concurrency enhancements | Concurrent update to global allocation map (GAM) pages and shared global allocation map (SGAM) pages reduces page latch contention while allocating/deallocating data pages and extents.|
+| System page latch concurrency enhancements | Concurrent updates to global allocation map (GAM) pages and shared global allocation map (SGAM) pages reduce page latch contention while allocating/deallocating data pages and extents. These enhancements apply to all user databases and especially benefit tempdb heavy workloads.|
 | Buffer pool parallel scan | Improves the performance of buffer bool scan operations on large-memory machines by utilizing multiple CPU cores. Learn more about [Operations that trigger a buffer pool scan may run slowly on large-memory computers](https://go.microsoft.com/fwlink/?linkid=2132602). |
 |Automatic Degree of parallelism (DOP) feedback | A new database scoped configuration option `DOP_FEEDBACK` automatically adjusts degree of parallelism for repeating queries to optimize for workloads where excessive parallelism can cause performance issues. Similar to optimizations in Azure SQL Database. Requires Query Store enabled. See [Configure the max degree of parallelism Server Configuration Option](../database-engine/configure-windows/configure-the-max-degree-of-parallelism-server-configuration-option.md).|
 | Cardinality estimation feedback | Identifies and corrects suboptimal query execution plans for repeating queries, when these issues are caused by incorrect estimation model assumptions. Requires Query Store enabled. See [Cardinality Estimation (SQL Server)](../relational-databases/performance/cardinality-estimation-sql-server.md). |