Merge pull request #272229 from fbsolo-ms1/freshness-update-branch

prmerger-automator[bot] · web-flow · commit fd4c7c5aa5ec · 2024-04-15T23:31:09.000Z
Freshness updates for five "small" .MD files . . .
diff --git a/articles/machine-learning/migrate-to-v2-assets-data.md b/articles/machine-learning/migrate-to-v2-assets-data.md
@@ -8,7 +8,7 @@ ms.subservice: mldata
 ms.topic: reference
 author: SturgeonMi
 ms.author: xunwan
-ms.date: 02/13/2023
+ms.date: 04/15/2024
 ms.reviewer: franksolomon
 ms.custom: migration
 monikerRange: 'azureml-api-1 || azureml-api-2'
@@ -17,13 +17,13 @@ monikerRange: 'azureml-api-1 || azureml-api-2'
 # Upgrade data management to SDK v2
 
 In V1, an Azure Machine Learning dataset can either be a `Filedataset` or a `Tabulardataset`.
-In V2, an Azure Machine Learning data asset can be a `uri_folder`, `uri_file` or `mltable`.
-You can conceptually map `Filedataset` to `uri_folder` and `uri_file`, `Tabulardataset` to `mltable`.
+In V2, an Azure Machine Learning data asset can be a `uri_folder`, `uri_file`, or `mltable`.
+Conceptually, you can map `Filedataset` to `uri_folder`, and `uri_file` or `Tabulardataset` to `mltable`.
 
-* URIs (`uri_folder`, `uri_file`) - a Uniform Resource Identifier that is a reference to a storage location on your local computer or in the cloud, that makes it easy to access data in your jobs.
-* MLTable - a method to abstract the tabular data schema definition, to make it easier for consumers of that data to materialize the table into a Pandas/Dask/Spark dataframe.
+* URIs (`uri_folder`, `uri_file`) - a Uniform Resource Identifier is a reference to a storage location on your local computer or in the cloud, for easy access to data in your jobs.
+* MLTable - a method to abstract the tabular data schema definition; consumers of that data can more easily materialize the table into a Pandas/Dask/Spark dataframe.
 
-This article compares data scenario(s) in SDK v1 and SDK v2.
+This article compares data scenarios in SDK v1 and SDK v2.
 
 ## Create a `filedataset`/ uri type of data asset
 
@@ -224,4 +224,4 @@ For more information, see the documentation here:
 * [Data in Azure Machine Learning](concept-data.md?tabs=uri-file-example%2Ccli-data-create-example)
 * [Create data_assets](how-to-create-data-assets.md?tabs=CLI)
 * [Read and write data in a job](how-to-read-write-data-v2.md)
-* [V2 datastore operations](/python/api/azure-ai-ml/azure.ai.ml.operations.datastoreoperations)
+* [V2 datastore operations](/python/api/azure-ai-ml/azure.ai.ml.operations.datastoreoperations)
diff --git a/articles/machine-learning/migrate-to-v2-resource-compute.md b/articles/machine-learning/migrate-to-v2-resource-compute.md
@@ -8,7 +8,7 @@ ms.subservice: mldata
 ms.topic: reference
 author: vijetajo
 ms.author: vijetaj
-ms.date: 02/14/2023
+ms.date: 04/15/2024
 ms.reviewer: franksolomon
 ms.custom: migration
 monikerRange: 'azureml-api-1 || azureml-api-2'
@@ -18,8 +18,7 @@ monikerRange: 'azureml-api-1 || azureml-api-2'
 
 The compute management functionally remains unchanged with the v2 development platform.
 
-This article gives a comparison of scenario(s) in SDK v1 and SDK v2.
-
+This article gives a comparison of scenarios in SDK v1 and SDK v2.
 
 ## Create compute instance
 
diff --git a/articles/machine-learning/reference-yaml-data.md b/articles/machine-learning/reference-yaml-data.md
@@ -10,25 +10,23 @@ ms.custom: cliv2
 
 author: ynpandey
 ms.author: yogipandey
-ms.date: 02/14/2023
+ms.date: 04/15/2024
 ms.reviewer: franksolomon
 ---
 
 # CLI (v2) data YAML schema
 
 [!INCLUDE [cli v2](includes/machine-learning-cli-v2.md)]
 
-The source JSON schema can be found at https://azuremlschemas.azureedge.net/latest/data.schema.json.
-
-
+You can find the source JSON schema at https://azuremlschemas.azureedge.net/latest/data.schema.json.
 
 [!INCLUDE [schema note](includes/machine-learning-preview-old-json-schema-note.md)]
 
 ## YAML syntax
 
 | Key | Type | Description | Allowed values | Default value |
 | --- | ---- | ----------- | -------------- | ------------- |
-| `$schema` | string | The YAML schema. If you use the Azure Machine Learning Visual Studio Code extension to author the YAML file, you can invoke schema and resource completions if you include `$schema` at the top of your file. | | |
+| `$schema` | string | The YAML schema. If you use the Azure Machine Learning Visual Studio Code extension to author the YAML file, include `$schema` at the top of your file to invoke schema and resource completions. | | |
 | `name` | string | **Required.** The data asset name. | | |
 | `version` | string | The dataset version. If omitted, Azure Machine Learning autogenerates a version. | | |
 | `description` | string | The data asset description. | | |
@@ -38,11 +36,11 @@ The source JSON schema can be found at https://azuremlschemas.azureedge.net/late
 
 ## Remarks
 
-The `az ml data` commands can be used for managing Azure Machine Learning data assets.
+The `az ml data` commands can be used to manage Azure Machine Learning data assets.
 
 ## Examples
 
-Examples are available in the [examples GitHub repository](https://github.com/Azure/azureml-examples/tree/main/cli/assets/data). Several are shown:
+Visit [this GitHub resource](https://github.com/Azure/azureml-examples/tree/main/cli/assets/data) for examples. Several are shown:
 
 ## YAML: datastore file
 
@@ -78,4 +76,4 @@ Examples are available in the [examples GitHub repository](https://github.com/Az
 
 ## Next steps
 
-- [Install and use the CLI (v2)](how-to-configure-cli.md)
+- [Install and use the CLI (v2)](how-to-configure-cli.md)
diff --git a/articles/machine-learning/reference-yaml-datastore-blob.md b/articles/machine-learning/reference-yaml-datastore-blob.md
@@ -10,7 +10,7 @@ ms.custom: cliv2
 
 author: ynpandey
 ms.author: yogipandey
-ms.date: 02/14/2023
+ms.date: 04/15/2024
 ms.reviewer: franksolomon
 ---
 
@@ -26,7 +26,7 @@ See the source JSON schema at https://azuremlschemas.azureedge.net/latest/azureB
 
 | Key | Type | Description | Allowed values | Default value |
 | --- | ---- | ----------- | -------------- | ------- |
-| `$schema` | string | The YAML schema. If you use the Azure Machine Learning Visual Studio Code extension to author the YAML file, you can invoke schema and resource completions if you include `$schema` at the top of your file. | | |
+| `$schema` | string | The YAML schema. If you use the Azure Machine Learning Visual Studio Code extension to author the YAML file, include `$schema` at the top of your file to invoke schema and resource completions. | | |
 | `type` | string | **Required.** The datastore type. | `azure_blob` | |
 | `name` | string | **Required.** The datastore name. | | |
 | `description` | string |  The datastore description. | | |
@@ -45,7 +45,7 @@ You can use the `az ml datastore` command to manage Azure Machine Learning datas
 
 ## Examples
 
-See examples in the [examples GitHub repository](https://github.com/Azure/azureml-examples/tree/main/cli/resources/datastore). Several are shown here:
+Visit [this GitHub resource](https://github.com/Azure/azureml-examples/tree/main/cli/resources/datastore) for examples. Several are shown here:
 
 ## YAML: identity-based access
 
diff --git a/articles/machine-learning/reference-yaml-datastore-data-lake-gen1.md b/articles/machine-learning/reference-yaml-datastore-data-lake-gen1.md
@@ -10,7 +10,7 @@ ms.custom: cliv2
 
 author: ynpandey
 ms.author: yogipandey
-ms.date: 02/14/2023
+ms.date: 04/15/2024
 ms.reviewer: franksolomon
 ---
 
@@ -26,7 +26,7 @@ See the source JSON schema at https://azuremlschemas.azureedge.net/latest/azureD
 
 | Key | Type | Description | Allowed values | Default value |
 | --- | ---- | ----------- | -------------- | ------- |
-| `$schema` | string | The YAML schema. If you use the Azure Machine Learning Visual Studio Code extension to author the YAML file, you can invoke schema and resource completions if you include `$schema` at the top of your file. | | |
+| `$schema` | string | The YAML schema. If you use the Azure Machine Learning Visual Studio Code extension to author the YAML file, include `$schema` at the top of your file to invoke schema and resource completions. | | |
 | `type` | string | **Required.** The datastore type. | `azure_data_lake_gen1` | |
 | `name` | string | **Required.** The datastore name. | | |
 | `description` | string | The datastore description. | | |
@@ -57,4 +57,4 @@ See examples in the [examples GitHub repository](https://github.com/Azure/azurem
 
 ## Next steps
 
-- [Install and use the CLI (v2)](how-to-configure-cli.md)
+- [Install and use the CLI (v2)](how-to-configure-cli.md)
