Mock sample for your project: CommerceManagementClient API

The key vault client performs cryptographic key operations and vault operations against the Key Vault service.

Azure Log Analytics API reference for management of saved Queries within Query Packs.

Use these REST APIs for performing retrieve a collection of Apis associated with a tag in Azure API Management deployment.

Storage system operation endpoints and objects.

The DevTest Labs Client.

The Managed Labs Client.

Azure Application Insights client for web test based alerting.

The Admin Storage Management Client.

REST API for Azure Blockchain Service

AWS Lake Formation Defines the public endpoint for the AWS Lake Formation service.

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 Microsoft Azure Network management API provides a RESTful set of web services that interact with Microsoft Azure Networks service to manage your network resources. The API has entities that capture the relationship between an end user and the Microsoft Azure Networks service.

An API for QnAMaker runtime

The HDInsight Management Client.

The Azure management API provides a RESTful set of web services that interact with Azure Key Vault.

Azure EventGrid Management Client

The Azure Management Groups API enables consolidation of multiple subscriptions/resources into an organizational hierarchy and centrally manage access control, policies, alerting and reporting for those resources.

Personalizer Service is an Azure Cognitive Service that makes it easy to target content and experiences without complex pre-analysis or cleanup of past data. Given a context and featurized content, the Personalizer Service returns which content item to show to users in rewardActionId. As rewards are sent in response to the use of rewardActionId, the reinforcement learning algorithm will improve the model and improve performance of future rank calls.