Mock sample for your project: DataLakeStoreFileSystemManagementClient API

Subscription client provides an interface to create and manage Azure subscriptions programmatically.

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.

Extracts information from forms and images into structured data.

The Admin Backup Management Client.

The Admin Subscriptions Management Client.

This Swagger was generated by the API Framework.

Azure Application Insights client for web test based alerting.

Use these REST APIs for managing OAuth2 servers configuration in your Azure API Management deployment. OAuth 2.0 can be used to authorize developer accounts for Azure API Management. For more information refer to How to OAuth2.

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

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.

Edge gateway operation endpoints and objects.

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.

Cognitive Services Management Client

APIs to manage web application firewall rules for Azure CDN

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

Deployment Admin Client.

Apis for customer in enterprise agreement migrate to new pricing model or rollback to legacy pricing model.

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.

API to Add/Remove/List Guest Diagnostics Configuration to Azure Resources

Network admin operation endpoints and objects.

The Admin Subscriptions Management Client.