Update docs/relational-databases/performance/intelligent-query-processing.md

Co-authored-by: Randolph West MSFT <97149825+rwestMSFT@users.noreply.github.com>

Author: thesqlsith

docs/relational-databases/performance/intelligent-query-processing.md

@@ -4,10 +4,10 @@ description: Intelligent query processing features to improve query performance
 author: MikeRayMSFT
 ms.author: mikeray
 ms.reviewer: derekw, randolphwest
-ms.date: 11/18/2025
+ms.date: 01/07/2026
 ms.service: sql
 ms.subservice: performance
-ms.topic: article
+ms.topic: concept-article
 ms.custom:
   - ignite-2025
 monikerRange: "=azuresqldb-current || >=sql-server-2016 || >=sql-server-linux-2017 || =azuresqldb-mi-current || =fabric-sqldb"
@@ -44,8 +44,8 @@ The following table details all intelligent query processing features, along wit
 
 | IQP Feature | Supported in [!INCLUDE [ssazure-sqldb](../../includes/ssazure-sqldb.md)] | Supported in [!INCLUDE [sssql25-md](../../includes/sssql25-md.md)] | Description |
 | --- | --- | --- | --- |
-| [Optional parameter plan optimization (OPPO)](optional-parameter-optimization.md) | No | Yes, starting with [!INCLUDE [sql-server-2025](../../includes/sssql25-md.md)] with compatibility level 170 | Leverages the adaptive plan optimization (Multiplan) infrastructure that was introduced with the Parameter Sensitive Plan Optimization (PSPO) improvement, which generates multiple plans from a single statement. The feature can choose a more optimal plan at runtime based on whether a parameter is `NULL OR NOT NULL`, which improves performance for queries that could otherwise default to suboptimal performance for such query patterns. |
-| [Cardinality estimation (CE) feedback for expressions](intelligent-query-processing-ce-feedback-for-expressions.md) | No | Yes, starting with [!INCLUDE [sql-server-2025](../../includes/sssql25-md.md)] with compatibility level 160 | Extends CE feedback to improve cardinality estimates for repeating expressions across queries by learning from previous executions and automatically applying appropriate CE model choices to future executions of those expressions |
+| [Optional parameter plan optimization (OPPO)](optional-parameter-optimization.md) | Yes, starting with database compatibility level 170 | Yes, starting with [!INCLUDE [sql-server-2025](../../includes/sssql25-md.md)] with database compatibility level 170 | Leverages the adaptive plan optimization (Multiplan) infrastructure that was introduced with the Parameter Sensitive Plan Optimization (PSPO) improvement, which generates multiple plans from a single statement. The feature can choose a more optimal plan at runtime based on whether a parameter is `NULL OR NOT NULL`, which improves performance for queries that could otherwise default to suboptimal performance for such query patterns. |
+| [Cardinality estimation (CE) feedback for expressions](intelligent-query-processing-ce-feedback-for-expressions.md) | Yes, starting with database compatibility level 170 | Yes, starting with [!INCLUDE [sql-server-2025](../../includes/sssql25-md.md)] with database compatibility level 160 | Extends CE feedback to improve cardinality estimates for repeating expressions across queries by learning from previous executions and automatically applying appropriate CE model choices to future executions of those expressions. |
 | [OPTIMIZED_SP_EXECUTESQL](../system-stored-procedures/sp-executesql-transact-sql.md#optimized_sp_executesql) | Yes | Yes, starting with [!INCLUDE [sql-server-2025](../../includes/sssql25-md.md)] | Effectively reduce the impact of compilation storms. A compilation storm is a situation where a large number of queries is being compiled simultaneously, leading to performance issues and resource contention. Enable this feature to allow invocations of `sp_executesql` to behave like objects such as stored procedures and triggers from a compilation perspective. |
 
 <a id="sql2022"></a>
@@ -82,6 +82,7 @@ The following table details all intelligent query processing features, along wit
 | [Approximate Percentile](intelligent-query-processing-details.md#approximate-query-processing) | Yes, starting with database compatibility level 110 | Quickly compute percentiles for a large dataset with acceptable rank-based error bounds to help make rapid decisions by using approximate percentile aggregate functions. |
 | [Batch Mode on Rowstore](intelligent-query-processing-details.md#batch-mode-on-rowstore) | Yes, starting with database compatibility level 150 | Provide batch mode for CPU-bound relational DW workloads without requiring columnstore indexes. |
 | [Cardinality estimation (CE) feedback](intelligent-query-processing-cardinality-estimation-feedback.md) | Yes, starting with database compatibility level 160 | Automatically adjusts cardinality estimates for repeating queries to optimize workloads where inefficient CE assumptions cause poor query performance. CE feedback will identify and use a model assumption that better fits a given query and data distribution to improve query execution plan quality. |
+| [Cardinality estimation (CE) feedback for expressions](intelligent-query-processing-ce-feedback-for-expressions.md) | Yes, starting with database compatibility level 160 in Azure SQL Managed Instance, with the **SQL Server 2025** or **Always-up-to-date** [update policy](/azure/azure-sql/managed-instance/update-policy). No, for the [SQL Server 2022 update policy](/azure/azure-sql/managed-instance/update-policy#sql-server-2022-update-policy). | Extends CE feedback to improve cardinality estimates for repeating expressions across queries by learning from previous executions and automatically applying appropriate CE model choices to future executions of those expressions. |
 | [Degree of parallelism (DOP) feedback](intelligent-query-processing-degree-parallelism-feedback.md) | Yes, starting with database compatibility level 160 in Azure SQL Managed Instance with the **SQL Server 2025** or **Always-up-to-date** [update policy](/azure/azure-sql/managed-instance/update-policy). No, for the [SQL Server 2022 update policy](/azure/azure-sql/managed-instance/update-policy#sql-server-2022-update-policy). | Automatically adjusts degree of parallelism for repeating queries to optimize for workloads where inefficient parallelism can cause performance issues. Requires Query Store to be enabled. |
 | [Interleaved Execution](intelligent-query-processing-details.md#interleaved-execution-for-mstvfs) | Yes, starting with database compatibility level 140 | Uses the actual cardinality of the multi-statement table valued function encountered on first compilation instead of a fixed guess. |
 | [Memory grant feedback (Batch Mode)](intelligent-query-processing-memory-grant-feedback.md#batch-mode-memory-grant-feedback) | Yes, starting with database compatibility level 140 | If a batch mode query has operations that spill to disk, add more memory for consecutive executions. If a query wastes > 50% of the memory allocated to it, reduce the memory grant size for consecutive executions. |