Mock sample for your project: PolicyClient API

The Container Service Client.

Use these REST APIs for performing operations on User entity in Azure API Management deployment. The User entity in API Management represents the developers that call the APIs of the products to which they are subscribed.

The Managed Labs Client.

Azure Blueprints Client provides access to blueprint definitions, assignments, and artifacts, and related blueprint operations.

The DevTest Labs 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 manage role definitions and role assignments. A role definition describes the set of actions that can be performed on resources. A role assignment grants access to Azure Active Directory users.

Azure Log Analytics API reference for management of saved Queries within Query Packs.

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.

IP pool operation endpoints and objects.

The Azure Instance Metadata 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.

The HDInsight Job Client.

Creates an Azure Data Lake Analytics account management client.

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.

Use this API to manage the Windows IoT device services in your Azure subscription.

Creates an Azure Data Lake Analytics catalog client.

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

Microsoft Azure Support Resource Provider.

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