Mock sample for your project: ApiManagementClient API

The Managed Service Identity Client.

Role based access control provides you a way to apply granular level policy administration down to individual resources or resource groups. These operations enable you to get deny assignments. A deny assignment describes the set of actions on resources that are denied for Azure Active Directory users.

Azure EventGrid Management Client

The HDInsight Management Client.

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

Storage operation results.

These APIs allow end users to operate on Azure Machine Learning Workspace resources. They support CRUD operations for Azure Machine Learning Workspaces.

Compute operation results.

The Azure Data Catalog Resource Provider Services API.

Use these REST APIs for performing operations on the ApiVersionSet entity associated with your Azure API Management deployment. Using this entity you create and manage API Version Sets that are used to group APIs for consistent versioning.

Use these APIs to manage Azure Front Door resources through the Azure Resource Manager. You must make sure that requests made to these resources are secure.

Edge gateway operation endpoints and objects.

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

Media Services resource management APIs.

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

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 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 Service Fabric Resource Provider API Client

Azure IoT Central is a service that makes it easy to connect, monitor, and manage your IoT devices at scale.

Azure Service Bus client for managing Namespace, IPFilter Rules, VirtualNetworkRules and Zone Redundant

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 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.