Mock sample for your project: HybridDataManagementClient API

These APIs allow end users to operate on Azure Machine Learning Workspace resources.

Use this API to manage the IoTSpaces service instances in your Azure subscription.

These APIs allow end users to operate on Azure Machine Learning Team Account resources. They support CRUD operations for Azure Machine Learning Team Accounts.

The Azure SQL Database management API provides a RESTful set of web APIs that interact with Azure SQL Database services to manage your databases. The API enables users to create, retrieve, update, and delete databases, servers, and other entities.

API spec for Microsoft.Security (Azure Security Center) resource provider

Provides create, read, update and delete functionality for Azure SQL Database resources including servers, databases, elastic pools, recommendations, and operations.

The Azure SQL Database management API provides a RESTful set of web APIs that interact with Azure SQL Database services to manage your databases. The API enables users to create, retrieve, update, and delete databases, servers, and other entities.

The Azure SQL Server management API provides a RESTful set of web services that interact with Azure SQL Server services to manage your databases. The API enables users update server connection policy.

Provides create, read and update functionality for database Threat Detection policies.

Provides operations for working with resources and resource groups.

DataSync DataSync is a managed data transfer service that makes it simpler for you to automate moving data between on-premises storage and Amazon Simple Storage Service (Amazon S3) or Amazon Elastic File System (Amazon EFS). This API interface reference for DataSync contains documentation for a programming interface that you can use to manage DataSync.

The Azure Analysis Services Web API provides a RESTful set of web services that enables users to create, retrieve, update, and delete Analysis Services servers

Amazon Web Services Single Sign On (SSO) is a cloud SSO service that makes it easy to centrally manage SSO access to multiple Amazon Web Services accounts and business applications. This guide provides information on SSO operations which could be used for access management of Amazon Web Services accounts. For information about Amazon Web Services SSO features, see the Amazon Web Services Single Sign-On User Guide. Many operations in the SSO APIs rely on identifiers for users and groups, known as principals. For more information about how to work with principals and principal IDs in Amazon Web Services SSO, see the Amazon Web Services SSO Identity Store API Reference.

AWS Well-Architected Tool This is the AWS Well-Architected Tool API Reference. The AWS Well-Architected Tool API provides programmatic access to the AWS Well-Architected Tool in the AWS Management Console. For information about the AWS Well-Architected Tool, see the AWS Well-Architected Tool User Guide.

The Turbine Labs API provides CRUD operations for core object types, and is
mostly RESTy. The easiest way to interact with the API is with
tbnctl.
If you want to make direct HTTP calls, however, you can obtain an access
token using tbnctl, and then pass it in the Authorization header,
prefixed by Token :

Azure IoT Central is a service that makes it easy to connect, monitor, and manage your IoT devices at scale.

Use these APIs to manage Azure CDN resources through the Azure Resource Manager. You must make sure that requests made to these resources are secure.

The Data Migration Service helps people migrate their data from on-premise database servers to Azure, or from older database software to newer software. The service manages one or more workers that are joined to a customer's virtual network, which is assumed to provide connectivity to their databases. To avoid frequent updates to the resource provider, data migration tasks are implemented by the resource provider in a generic way as task resources, each of which has a task type (which identifies the type of work to run), input, and output. The client is responsible for providing appropriate task type and inputs, which will be passed through unexamined to the machines that implement the functionality, and for understanding the output, which is passed back unexamined to the client.