Mock sample for your project: Security Center API

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.

Use these REST APIs for performing operations on OpenId Connect Provider entity associated with your Azure API Management deployment. API Management allows you to access APIs secured with token from OpenID Connect Provider to be accessed from the Developer Console.

Deployment Admin Client.

Edge gateway pool operation endpoints and objects.

Storage operation results.

Public IP Address admin endpoints and objects.

The User Subscription Management Client.

Use these REST APIs for performing operations on User entity in Azure API Management deployment. The User entity in API Management represents the developers that call the APIs of the products to which they are subscribed.

The Azure BatchAI Management API.

The Admin Storage Management 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.

Azure NotificationHub client

The Microsoft Azure ExpressRouteCrossConnection Resource Provider REST APIs describes the operations for the connectivity provider to provision ExpressRoute circuit, create and modify BGP peering entities and troubleshoot connectivity on customer's ExpressRoute circuit.

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

The DNS 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 HDInsight Management Client.