Mock sample for your project: Security Center API

Service Map API Reference

A client for issuing REST requests to the Azure Batch service.

Azure Application Insights client for favorites.

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.

Storage subsystem operation endpoints and objects.

Role based access control provides you a way to apply granular level policy administration down to individual resources or resource groups. These calls handle provider operations.

Use these REST APIs for performing operations on Tag entity in your Azure API Management deployment. Tags can be assigned to APIs, Operations and Products.

Azure Blueprints Client provides access to blueprint definitions, assignments, and artifacts, and related blueprint operations.

This Swagger was generated by the API Framework.

Creates an Azure Data Lake Store filesystem client.

Microsoft Customer Engagement Fabric

Azure Log Analytics API reference for Query Packs management.

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

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.

Allows creation and deletion of Azure Shared Dashboards.

These APIs allow end users to manage Azure Machine Learning Models, Images, Profiles, and Services.

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

The HDInsight Management Client.

These are the Network Experiment APIs.

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.

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.