Mock sample for your project: MySQLManagementClient API

The APIs listed in this specification can be used to manage Deployment Scripts resource through the Azure Resource Manager.

Microsoft NetApp Azure Resource Provider specification

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

REST API for Azure Server Management Service.

Mixed Reality Resource Provider Proxy API

Client that can be used to manage and query indexes and documents, as well as manage other resources, on a search service.

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

APIs to manage Peering resources through the Azure Resource Manager.

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

To manage and control access to your resources, you can define customized policies and assign them at a scope.

Resource Groups Tagging API

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 DevOps Resource Provider

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.

An API for QnAMaker Service

The Azure management API provides a RESTful set of web services that interact with Azure Key Vault.

The HDInsight Management Client.

The Container Service Client.

Use this API to manage the IoTSpaces service instances in your Azure subscription.