Mock sample for your project: AuthorizationManagementClient API

The Azure SQL Database management API provides a RESTful set of web services that interact with Azure SQL Database services to manage your external server administrators.

Mixed Reality Resource Provider Spatial Anchors Resource API

Use these API to manage Azure Relay resources through Azure Resource Manager.

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

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

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

Streaming resource management client for Azure Media Services

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

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

The Microsoft Azure Network management API provides a RESTful set of web services that interact with Microsoft Azure Networks service to manage your network resources. The API has entities that capture the relationship between an end user and the Microsoft Azure Networks service.

Virtual Machine Image Template

REST API for MarketplaceOrdering Agreements.

The Microsoft Azure management API provides create, read, update, and delete functionality for Azure MariaDB resources including servers, databases, firewall rules, VNET rules, log files and configurations with new business model.

Virtual Machine Image Template

Creates an Azure Data Lake Analytics job client.

Creates an Azure Data Lake Analytics account management client.

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Mixed Reality Resource Provider Spatial Anchors Resource API

The Microsoft Azure management API provides create, read, update, and delete functionality for Azure MariaDB resources including servers, databases, firewall rules, VNET rules, security alert policies, log files, encryption keys, active directory administrator and configurations.

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.

Cognitive Services Management Client