Mock sample for your project: ApiManagementClient API

Edge gateway pool operation endpoints and objects.

The Admin Fabric Management Client.

APIs to manage Peering resources through the Azure Resource Manager.

The Container Service Client.

The Admin Subscriptions Management Client.

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.

The service is used to perform ink layout and recognition of written words and shapes. Ink strokes passed to the service are recognized and organized into recognition results in the response

The Admin Storage Management Client.

Storage pool operation endpoints and objects.

Amazon Kinesis Data Streams Service API Reference Amazon Kinesis Data Streams is a managed service that scales elastically for real-time processing of streaming big data.

These are the Network Experiment APIs.

An API for QnAMaker Service

The Run Commands Client.

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

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

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.

REST API for Azure VirtualWAN As a Service.

Allows creation and deletion of Azure Shared Dashboards.