Sensitivity Labels - Disable Recommendation

POST https://management.azure.com/subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/myRG/providers/Microsoft.Sql/servers/myServer/databases/myDatabase/schemas/dbo/tables/myTable/columns/myColumn/sensitivityLabels/recommended/disable?api-version=2025-01-01

using Azure;
using Azure.ResourceManager;
using System;
using System.Threading.Tasks;
using Azure.Core;
using Azure.Identity;
using Azure.ResourceManager.Sql;

// Generated from example definition: specification/sql/resource-manager/Microsoft.Sql/SQL/stable/2025-01-01/examples/RecommendedColumnSensitivityLabelDisable.json
// this example is just showing the usage of "SensitivityLabels_DisableRecommendation" operation, for the dependent resources, they will have to be created separately.

// get your azure access token, for more details of how Azure SDK get your access token, please refer to https://dori-uw-1.kuma-moon.com/en-us/dotnet/azure/sdk/authentication?tabs=command-line
TokenCredential cred = new DefaultAzureCredential();
// authenticate your client
ArmClient client = new ArmClient(cred);

// this example assumes you already have this SqlDatabaseColumnResource created on azure
// for more information of creating SqlDatabaseColumnResource, please refer to the document of SqlDatabaseColumnResource
string subscriptionId = "00000000-1111-2222-3333-444444444444";
string resourceGroupName = "myRG";
string serverName = "myServer";
string databaseName = "myDatabase";
string schemaName = "dbo";
string tableName = "myTable";
string columnName = "myColumn";
ResourceIdentifier sqlDatabaseColumnResourceId = SqlDatabaseColumnResource.CreateResourceIdentifier(subscriptionId, resourceGroupName, serverName, databaseName, schemaName, tableName, columnName);
SqlDatabaseColumnResource sqlDatabaseColumn = client.GetSqlDatabaseColumnResource(sqlDatabaseColumnResourceId);

// invoke the operation
await sqlDatabaseColumn.DisableRecommendationSensitivityLabelAsync();

Console.WriteLine("Succeeded");

To use the Azure SDK library in your project, see this documentation. To provide feedback on this code sample, open a GitHub issue