Update what-s-new-in-sql-server-2022.md

Suggest several clarifications to IQP features. Also, somehow the Degree of parallelism (DOP) feedback and CE Feedback are not linking to the docs pages specific to those features, and those were done in the EAP repo before. cc @MikeRayMSFT

Author: pmasl

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

@@ -87,15 +87,15 @@ The following sections provide an overview of these features.
 |:---|:---|
 | Query Store on secondary replicas |  Query Store on secondary replicas enables the same Query Store functionality on secondary replica workloads that is available for primary replicas. Learn more in [Query Store for secondary replicas](../relational-databases/performance/monitoring-performance-by-using-the-query-store.md#query-store-for-secondary-replicas).<br/><br/> For more information, see [Query Store improvements](#query-store-improvements) later in this article.|
 | Query Store hints | [Query Store hints](../relational-databases/performance/query-store-hints.md) leverage leverages Query Store to provide a method to shape query plans without changing application code. Previously only available on Azure SQL Database and Azure SQL Managed Instance, now are available in SQL Server 2022 Preview. Requires enabling Query Store.|
-| Memory grant feedback | Optimize memory allocation is stored in the Query Store, so when the memory grant information is available when the query returns to cache after eviction. For information, read [Percentile and Persistence mode memory grant feedback](../relational-databases/performance/intelligent-query-processing.md#percentile-and-persistence-mode-memory-grant-feedback). Requires enabling Query Store. |
-| Percentile grant |  A new algorithm improves performance of queries with widely vacillating memory requirements. Reviews more than just the single previous memory need - includes information from further back in the history as well. Requires enabling Query Store.|
-| In-memory OLTP management | - Improve memory management in large memory servers to reduce out of memory conditions |
+| Memory grant feedback persistence | Learned memory grant is stored in the Query Store, so when the memory grant information is available after the query returns to cache after eviction, the previous persisted memory grant can be used rather than re-learning the optimal memory grant. For information, read [Percentile and Persistence mode memory grant feedback](../relational-databases/performance/intelligent-query-processing.md#percentile-and-persistence-mode-memory-grant-feedback). Requires enabling Query Store. |
+| Memory grant feedback percentile grant |  A new algorithm improves performance of queries with widely vacillating memory requirements. Reviews more than just the single previous memory need - includes information from further back in the history as well. For information, read [Percentile and Persistence mode memory grant feedback](../relational-databases/performance/intelligent-query-processing.md#percentile-and-persistence-mode-memory-grant-feedback). Requires enabling Query Store.|
+| In-memory OLTP management | Improve memory management in large memory servers to reduce out-of-memory conditions. |
 | 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 &#40;Transact-SQL&#41;](../t-sql/statements/create-table-transact-sql.md) and [CREATE INDEX &#40;Transact-SQL&#41;](../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. | 
+| Improved optimization | SQL Server 2022 Preview leverages new hardware capabilities - including the Advanced Vector Extension (AVX) 512 extension to improve batch mode operations. | 
 | 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).|
+| 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 inneficient 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). |
 | Optimized plan forcing| Uses compilation replay to improve the compilation time for forced plan generation by pre-caching non-repeatable plan compilation steps. Learn more in [Optimized plan forcing with Query Store](../relational-databases/performance/optimized-plan-forcing-query-store.md).|
 
@@ -105,7 +105,7 @@ The following sections provide an overview of these features.
 |:---|:---|
 | Setup attached to Azure | Install Azure Arc agent via SQL Server at setup. For more information, see [Install SQL Server from the Command Prompt](../database-engine/install-windows/install-sql-server-from-the-command-prompt.md#install-sql-server-from-the-command-prompt).|
 | Max server memory calculations | During setup, the installation will configure max server memory to align with recommendations. See [Server memory configuration options](../database-engine/configure-windows/server-memory-server-configuration-options.md). |
-| Accelerated Database Recovery (ADR) improvement | There are several improvements to address persistent version store (PVS) storage and improve overall scalability. SQL Server 2022 implements a persistent version store cleaner thread per database instead of per instance and the memory footprint for PVS page tracker has been improved. There are also a number of ADR efficiencies. Concurrency improvements help the cleanup process to work more efficiently. ADR cleans pages that couldn't previously be cleaned due to locking.<br/><br/>See [Restore and Recovery Overview (SQL Server)](../relational-databases/backup-restore/restore-and-recovery-overview-sql-server.md#adr).|
+| Accelerated Database Recovery (ADR) improvements | There are several improvements to address persistent version store (PVS) storage and improve overall scalability. SQL Server 2022 implements a persistent version store cleaner thread per database instead of per instance and the memory footprint for PVS page tracker has been improved. There are also a number of ADR efficiency improvements, such as concurrency improvements that help the cleanup process to work more efficiently. ADR cleans pages that couldn't previously be cleaned due to locking.<br/><br/>See [Restore and Recovery Overview (SQL Server)](../relational-databases/backup-restore/restore-and-recovery-overview-sql-server.md#adr).|
 | Improved snapshot backup support |  Adds Transact-SQL support for freezing and thawing I/O without requiring a VDI client. [Create a Transact-SQL snapshot backup](../relational-databases/backup-restore/create-a-transact-sql-snapshot-backup.md).|
 | Shrink database wait with low priority | In previous releases, shrinking databases and database files to reclaim space often leads to concurrency issues. In SQL Server 2022 an additional option for DBCC SHRINKDATABASE and DBCC SHRINKFILE 'WAIT_AT_LOW_PRIORITY' changes the default behavior. When specifying WAIT_AT_LOW_PRIORITY behavior, new queries requiring Sch-S locks aren't blocked by the waiting shrink operation, until the shrink operation stops waiting and begins executing. See [WAIT_AT_LOW_PRIORITY](../relational-databases/databases/shrink-a-database.md#remarks).|
 |Asynchronous auto update statistics concurrency|Avoid potential concurrency issues using asynchronous statistics update if you enable the ASYNC_STATS_UPDATE_WAIT_AT_LOW_PRIORITY [database-scoped configuration](../t-sql/statements/alter-database-scoped-configuration-transact-sql.md).|