Refresh articles that referenced preview versions

Author: rwestMSFT

docs/database-engine/availability-groups/windows/basic-availability-groups-always-on-availability-groups.md

@@ -1,9 +1,10 @@
 ---
-title: "Basic availability groups for a single database"
-description: "Describes the differences between a regular and basic Always On availability group, as well as how to configure a basic availability group."
+title: Basic Availability Groups for a Single Database
+description: Describes the differences between a regular and basic Always On availability group, and how to configure a basic availability group.
 author: MashaMSFT
 ms.author: mathoma
-ms.date: 09/27/2024
+ms.reviewer: randolphwest
+ms.date: 10/23/2025
 ms.service: sql
 ms.subservice: availability-groups
 ms.topic: how-to
@@ -12,41 +13,41 @@ ms.topic: how-to
 
 [!INCLUDE [SQL Server](../../../includes/applies-to-version/sqlserver.md)]
 
-Always On basic availability groups provide a high availability solution for SQL Server from version 2016 and above on Standard Edition. A basic availability group supports a failover environment for a single database. It is created and managed much like traditional (advanced) [Always On Availability Groups](overview-of-always-on-availability-groups-sql-server.md) with Enterprise Edition. The differences and limitations of basic availability groups are summarized in this document.
+Always On basic availability groups provide a high availability solution for [!INCLUDE [sssql16-md](../../../includes/sssql16-md.md)] and later versions on Standard edition. A basic availability group supports a failover environment for a single database. It is created and managed much like traditional (advanced) [availability group](overview-of-always-on-availability-groups-sql-server.md) with Enterprise edition. The differences and limitations of basic availability groups are summarized in this document.
 
 ## Features
 
-Always On basic availability groups replace the deprecated Database Mirroring feature and provides a similar level of feature support. Basic availability groups enable a primary database to maintain a single replica. This replica can use either synchronous-commit mode or asynchronous-commit mode. For more information about availability modes, see [Availability Modes](availability-modes-always-on-availability-groups.md). The secondary replica remains inactive unless there is a need to failover. This failover reverses the primary and secondary role assignments, causing the secondary replica to become the primary active database. For more information on failover, see [Failover and Failover Modes](failover-and-failover-modes-always-on-availability-groups.md). Basic availability groups can operate in a hybrid environment that spans on-premises and Microsoft Azure.
+Basic availability groups replace the deprecated Database Mirroring feature, and provide a similar level of feature support. Basic availability groups enable a primary database to maintain a single replica. This replica can use either synchronous-commit mode or asynchronous-commit mode. For more information about availability modes, see [Differences between availability modes for an Always On availability group](availability-modes-always-on-availability-groups.md). The secondary replica remains inactive unless there's a need to fail over. This failover reverses the primary and secondary role assignments, causing the secondary replica to become the primary active database. For more information on failover, see [Failover and Failover Modes](failover-and-failover-modes-always-on-availability-groups.md). Basic availability groups can operate in a hybrid environment that spans on-premises and Microsoft Azure.
 
 ## Limitations
 
-Basic availability groups use a subset of features compared to advanced availability groups on SQL Server 2016 Enterprise Edition. Basic availability groups include the following limitations:
+Basic availability groups use a subset of features compared to advanced availability groups on [!INCLUDE [sssql16-md](../../../includes/sssql16-md.md)] Enterprise edition. Basic availability groups include the following limitations:
 
-- Limit of two replicas (primary and secondary). Basic Availability Groups for SQL Server 2017 on Linux support an additional configuration only replica.
+- Limit of two replicas (primary and secondary). Basic Availability Groups for [!INCLUDE [sssql17-md](../../../includes/sssql17-md.md)] on Linux support an extra configuration only replica.
 
 - No read access on secondary replica.
 
 - No backups on secondary replica.
 
 - No integrity checks on secondary replicas.
 
-- No support for replicas hosted on servers running a version of SQL Server prior to SQL Server 2016 Community Technology Preview 3 (CTP3).
+- No support for replicas hosted on servers running a version of SQL Server before [!INCLUDE [sssql16-md](../../../includes/sssql16-md.md)].
 
 - Support for one availability database.
 
-- Basic availability groups cannot be upgraded to advanced availability groups. The group must be dropped and re-added to a group that contains servers running only SQL Server 2016 Enterprise Edition.
+- Basic availability groups can't be upgraded to advanced availability groups. The group must be dropped and readded to a group that contains servers running only [!INCLUDE [sssql16-md](../../../includes/sssql16-md.md)] Enterprise edition.
 
-- Basic availability groups are only supported for Standard Edition servers.
+- Basic availability groups are only supported for Standard edition servers.
 
-- Basic availability groups cannot be part of a distributed availability group.
+- Basic availability groups can't be part of a distributed availability group.
 
 - You might have multiple Basic availability groups connected to a single instance of SQL Server.
 
 ## Configuration
 
-An Always On basic availability group can be created on any two SQL Server 2016 Standard Edition servers. When you create a basic availability group, you must specify both replicas during creation.
+An Always On basic availability group can be created on any two [!INCLUDE [sssql16-md](../../../includes/sssql16-md.md)] Standard edition servers. When you create a basic availability group, you must specify both replicas during creation.
 
-To create a basic availability group, use the **CREATE AVAILABILITY GROUP** Transact-SQL command and specify the **WITH BASIC** option (the default is **ADVANCED**). You can also create the basic availability group using the UI in SQL Server Management Studio starting with version 17.8. For more information, see [CREATE AVAILABILITY GROUP](../../../t-sql/statements/create-availability-group-transact-sql.md).
+To create a basic availability group, use the `CREATE AVAILABILITY GROUP` Transact-SQL command and specify the `WITH BASIC` option (the default is `ADVANCED`). You can also create the basic availability group using the UI in SQL Server Management Studio starting with version 17.8. For more information, see [CREATE AVAILABILITY GROUP](../../../t-sql/statements/create-availability-group-transact-sql.md).
 
 See the following example for creating a basic availability group using Transact-SQL (T-SQL):
 
@@ -65,7 +66,7 @@ GO
 ```
 
 > [!NOTE]  
-> The limitations of basic availability groups apply to the **CREATE AVAILABILITY GROUP** command when **WITH BASIC** is specified. For example, you will get an error if you attempt to create a basic availability group that permits read access. Other limitations apply in the same manner. Refer to the Limitations section of this topic for details.
+> The limitations of basic availability groups apply to the `CREATE AVAILABILITY GROUP` command when `WITH BASIC` is specified. For example, you get an error if you attempt to create a basic availability group that permits read access. Other limitations apply in the same manner. Refer to the Limitations section of this article for details.
 
 ## Related content
 

docs/machine-learning/python/reference/microsoftml/index.md

@@ -1,130 +1,104 @@
 ---
-title: "microsoftml API"
-description: "microsoftml API"
+title: MicrosoftML API
+description: MicrosoftML API
 author: VanMSFT
 ms.author: vanto
-ms.date: 07/15/2019
+ms.reviewer: randolphwest
+ms.date: 10/23/2025
 ms.service: sql
-ms.subservice: "machine-learning-services"
-ms.topic: "reference"
+ms.subservice: machine-learning-services
+ms.topic: reference
 keywords:
   - microsoftml API
   - API
 ms.devlang: python
-monikerRange: ">=sql-server-2017||>=sql-server-linux-ver15"
+monikerRange: ">=sql-server-2017 || >=sql-server-linux-ver15"
 ---
-# microsoftml API
+# MicrosoftML API
 
-## learners
+## Learners
 
+**Applies to**: [!INCLUDE [sssql17-md](../../../../includes/sssql17-md.md)]
 
-**Applies to: SQL Server 2017 RC2**
+### Training functions
 
+- [*microsoftml.rx_fast_forest*: Random Forest](rx-fast-forest.md)
 
-### training functions
+- [*microsoftml.rx_fast_linear*: Linear Model with Stochastic Dual Coordinate Ascent](rx-fast-linear.md)
 
-* [*microsoftml.rx_fast_forest*: Random Forest](rx-fast-forest.md) 
+  - [loss functions](rx-fast-linear.md)
 
-* [*microsoftml.rx_fast_linear*: Linear Model with Stochastic Dual Coordinate Ascent](rx-fast-linear.md) 
+    - [*microsoftml.hinge_loss*: Hinge loss function](hinge-loss.md)
+    - [*microsoftml.log_loss*: Log loss function](log-loss.md)
+    - [*microsoftml.smoothed_hinge_loss*: Smoothed hinge loss function](smoothed-hinge-loss.md)
+    - [*microsoftml.squared_loss*: Squared loss function](squared-loss.md)
 
-  * [loss functions](rx-fast-linear.md) 
+- [*microsoftml.rx_fast_trees*: Boosted Trees](rx-fast-trees.md)
 
-    * [*microsoftml.hinge_loss*: Hinge loss function](hinge-loss.md) 
+- [*microsoftml.rx_logistic_regression*: Logistic Regression](rx-logistic-regression.md)
 
-    * [*microsoftml.log_loss*: Log loss function](log-loss.md) 
+- [*microsoftml.rx_neural_network*: Neural Network](rx-neural-network.md)
 
-    * [*microsoftml.smoothed_hinge_loss*: Smoothed hinge loss function](smoothed-hinge-loss.md) 
+  - [optimizers](rx-neural-network.md)
 
-    * [*microsoftml.squared_loss*: Squared loss function](squared-loss.md) 
+    - [*microsoftml.adadelta_optimizer*: Adaptive learning rate method](adadelta-optimizer.md)
+    - [*microsoftml.sgd_optimizer*: Stochastic gradient descent](sgd-optimizer.md)
 
-* [*microsoftml.rx_fast_trees*: Boosted Trees](rx-fast-trees.md) 
+  - [math](rx-neural-network.md)
 
-* [*microsoftml.rx_logistic_regression*: Logistic Regression](rx-logistic-regression.md) 
+    - [*microsoftml.avx_math*: Acceleration with AVX instructions](avx-math.md)
+    - [*microsoftml.clr_math*: Acceleration with .NET math](clr-math.md)
+    - [*microsoftml.gpu_math*: Acceleration with Nvidia CUDA](gpu-math.md)
+    - [*microsoftml.mkl_math*: Acceleration with Intel MKL](mkl-math.md)
+    - [*microsoftml.sse_math*: Acceleration with SSE instructions](sse-math.md)
 
-* [*microsoftml.rx_neural_network*: Neural Network](rx-neural-network.md) 
-
-  * [optimizers](rx-neural-network.md) 
-
-    * [*microsoftml.adadelta_optimizer*: Adaptive learning rate method](adadelta-optimizer.md) 
-
-    * [*microsoftml.sgd_optimizer*: Stochastic gradient descent](sgd-optimizer.md) 
-
-  * [math](rx-neural-network.md) 
-
-    * [*microsoftml.avx_math*: Acceleration with AVX instructions](avx-math.md) 
-
-    * [*microsoftml.clr_math*: Acceleration with .NET math](clr-math.md) 
-
-    * [*microsoftml.gpu_math*: Acceleration with NVidia CUDA](gpu-math.md) 
-
-    * [*microsoftml.mkl_math*: Acceleration with Intel MKL](mkl-math.md) 
-
-    * [*microsoftml.sse_math*: Acceleration with SSE instructions](sse-math.md) 
-
-* [*microsoftml.rx_oneclass_svm*: Anomaly Detection](rx-oneclass-svm.md) 
-
-
-## transforms
+- [*microsoftml.rx_oneclass_svm*: Anomaly Detection](rx-oneclass-svm.md)
 
+## Transforms
 
 ### categorical variable handling
 
-* [*microsoftml.categorical*: Converts a text column into categories](categorical.md) 
-
-* [*microsoftml.categorical_hash*: Hashes and converts a text column into categories](categorical-hash.md) 
-
-
-### schema manipulation
-
-* [*microsoftml.concat*: Concatenates multiple columns into a single vector](concat.md) 
-
-* [*microsoftml.drop_columns*: Drops columns from a dataset](drop-columns.md) 
-
-* [*microsoftml.select_columns*: Retains columns of a dataset](select-columns.md) 
-
-
-### variable selection
-
-* [*microsoftml.count_select*: Feature selection based on counts](count-select.md) 
-
-* [*microsoftml.mutualinformation_select*: Feature selection based on mutual information](mutualinformation-select.md) 
-
-
-### text analytics
-
-* [*microsoftml.featurize_text*: Converts text columns into numerical features](featurize-text.md) 
-
-  * [N-grams extractors](featurize-text.md) 
-
-    * [*microsoftml.n_gram*: Converts text into features using n-grams](n-gram.md) 
+- [*microsoftml.categorical*: Converts a text column into categories](categorical.md)
+- [*microsoftml.categorical_hash*: Hashes and converts a text column into categories](categorical-hash.md)
 
-    * [*microsoftml.n_gram_hash*: Converts text into features using hashed n-grams](n-gram-hash.md) 
+### Schema manipulation
 
-  * [Stopwords removers](featurize-text.md) 
+- [*microsoftml.concat*: Concatenates multiple columns into a single vector](concat.md)
+- [*microsoftml.drop_columns*: Drops columns from a dataset](drop-columns.md)
+- [*microsoftml.select_columns*: Retains columns of a dataset](select-columns.md)
 
-    * [*microsoftml.custom*: Removes custom stopwords](custom.md) 
+### Variable selection
 
-    * [*microsoftml.predefined*: Removes predefined stopwords](predefined.md) 
+- [*microsoftml.count_select*: Feature selection based on counts](count-select.md)
+- [*microsoftml.mutualinformation_select*: Feature selection based on mutual information](mutualinformation-select.md)
 
-* [*microsoftml.get_sentiment*: Sentiment analysis](get-sentiment.md) 
+### Text analytics
 
+- [*microsoftml.featurize_text*: Converts text columns into numerical features](featurize-text.md)
 
-### image analytics
+  - [*microsoftml.featurize_text*: Converts text columns into numerical features](featurize-text.md)
 
-* [*microsoftml.load_image*: Loads an image](load-image.md) 
+    - [*microsoftml.n_gram*: Converts text into features using n-grams](n-gram.md)
+    - [*microsoftml.n_gram_hash*: Converts text into features using hashed n-grams](n-gram-hash.md)
 
-* [*microsoftml.resize_image*: Resizes an Image](resize-image.md) 
+  - [*microsoftml.featurize_text*: Converts text columns into numerical features](featurize-text.md)
 
-* [*microsoftml.extract_pixels*: Extracts pixels form an image](extract-pixels.md) 
+    - [*microsoftml.custom*: Removes custom stopwords](custom.md)
+    - [*microsoftml.predefined*: Removes predefined stopwords](predefined.md)
 
-* [*microsoftml.featurize_image*: Converts an image into features](featurize-image.md) 
+- [*microsoftml.get_sentiment*: Sentiment analysis](get-sentiment.md)
 
+### Image analytics
 
-## scorers
+- [*microsoftml.load_image*: Loads an image](load-image.md)
+- [*microsoftml.resize_image*: Resizes an Image](resize-image.md)
+- [*microsoftml.extract_pixels*: Extracts pixels from an image](extract-pixels.md)
+- [*microsoftml.featurize_image*: Converts an image into features](featurize-image.md)
 
-* [*microsoftml.rx_predict*: Scores using a Microsoft machine learning model](rx-predict.md) 
+## Scorers
 
+- [*microsoftml.rx_predict*: Scores using a Microsoft machine learning model](rx-predict.md)
 
-## featurizers
+## Featurizers
 
-* [*microsoftml.rx_featurize*: Data transformation for data sources](rx-featurize.md) 
+- [*microsoftml.rx_featurize*: Data transformation for data sources](rx-featurize.md)