Mock sample for your project: HanaManagementClient API

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

Virtual Network admin operation endpoints and objects.

PowerBI Dedicated Web API provides a RESTful set of web services that enables users to create, retrieve, update, and delete Power BI dedicated capacities

The Admin Backup Management Client.

The Resource Health Client.

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.

Network operation results.

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.

Operation status operation endpoints and objects.

REST API for Azure Redis Cache Service.

Provides create, read, update and delete functionality for Azure SQL Database resources including servers, databases, elastic pools, recommendations, and operations.

Creates a Microsoft.DataShare management client.

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

Use this API to manage Microsoft HealthcareApis services in your Azure subscription.

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.

Microsoft Customer Engagement Fabric

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