Mock sample for your project: Cosmos DB API

Media Services resource management APIs.

Storage subsystem operation endpoints and objects.

The HDInsight Management Client.

The Azure Instance Metadata Client

These APIs allow end users to operate on Azure Machine Learning Commitment Plans resources and their child Commitment Association resources. They support CRUD operations for commitment plans, get and list operations for commitment associations, moving commitment associations between commitment plans, and retrieving commitment plan usage history.

The Microsoft Azure management API provides create, read, update, and delete functionality for Azure MariaDB resources including servers, databases, firewall rules, VNET rules, security alert policies, log files and configurations with new business model.

Virtual Network admin operation endpoints and objects.

Resource Provider

The Admin Storage Management Client.

The Admin Storage Management Client.

Creates a Microsoft.DataShare management client.

Time Series Insights environment data plane client for PAYG (Preview L1 SKU) environments.

Dev Spaces REST API

The HDInsight Management Client.

The SAP HANA on Azure Management Client.

This Swagger was generated by the API Framework.

This Swagger was generated by the API Framework.

This Swagger was generated by the API Framework.

The Run Commands Client.

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.

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.