Mock sample for your project: AutomationManagement API

Use these APIs to manage Visual Studio Team Services resources through the Azure Resource Manager. All task operations conform to the HTTP/1.1 protocol specification and each operation returns an x-ms-request-id header that can be used to obtain information about the request. You must make sure that requests made to these resources are secure. For more information, see https://docs.microsoft.com/en-us/rest/api/index.

Use these REST APIs for performing operations on Email Templates associated with your Azure API Management deployment.

Use these REST APIs for performing operations to retrieve Products by Tags in Azure API Management deployment.

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.

REST APIs for Azure Active Directory Connect Health

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

The service for managing third party addons.

Consumption management client provides access to consumption resources for Azure Enterprise Subscriptions.

Update location operation endpoints and objects.

Use these REST APIs for performing operations on Email Templates associated with your Azure API Management deployment.

The Admin Storage Management Client.

The Anomaly Detector API detects anomalies automatically in time series data. It supports two kinds of mode, one is for stateless using, another is for stateful using. In stateless mode, there are three functionalities. Entire Detect is for detecting the whole series with model trained by the time series, Last Detect is detecting last point with model trained by points before. ChangePoint Detect is for detecting trend changes in time series. In stateful mode, user can store time series, the stored time series will be used for detection anomalies. Under this mode, user can still use the above three functionalities by only giving a time range without preparing time series in client side. Besides the above three functionalities, stateful model also provide group based detection and labeling service. By leveraging labeling service user can provide labels for each detection result, these labels will be used for retuning or regenerating detection models. Inconsistency detection is a kind of group based detection, this detection will find inconsistency ones in a set of time series. By using anomaly detector service, business customers can discover incidents and establish a logic flow for root cause analysis.

The Container Service Client.

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

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.

The HDInsight Management Client.

Use this API to manage the IoT hubs in your Azure subscription.

These APIs allow end users to operate on Azure Machine Learning Compute resources. They support the following operations: Create or update a cluster Get a cluster Patch a cluster Delete a cluster Get keys for a cluster Check if updates are available for system services in a cluster Update system services in a cluster Get all clusters in a resource group Get all clusters in a subscription

Azure Bot Service is a platform for creating smart conversational agents.

This API describe ACE Provisioning ManagementPartner

API for using the Azure IoT Hub Device Provisioning Service features.

ARM Databricks