Mock sample for your project: SqlManagementClient API

Azure Application Insights client for saved items.

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.

The Container Service Client.

Azure Maintenance Management Client

Storage subsystem operation endpoints and objects.

The Compute Management Client.

Public IP Address admin endpoints and objects.

The Azure Instance Metadata Client

Azure Alerts Management Service provides a single pane of glass of alerts across Azure Monitor.

Creates an Azure Data Lake Store filesystem client.

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

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

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

Creates a Microsoft.DataShare management client.

The Container Service Client.

This API describe ACE Provisioning ManagementPartner

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.

Azure EventGrid Management Client

Azure Cosmos DB Database Service Resource Provider REST API

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 Container Service Client.