Mock sample for your project: EventGridManagementClient API

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

Azure Monitor API reference for Private Links Scopes management.

Dev Spaces REST API

The Admin Storage Management Client.

The Computer Vision API provides state-of-the-art algorithms to process images and return information. For example, it can be used to determine if an image contains mature content, or it can be used to find all the faces in an image. It also has other features like estimating dominant and accent colors, categorizing the content of images, and describing an image with complete English sentences. Additionally, it can also intelligently generate images thumbnails for displaying large images effectively.

The Azure BatchAI Management API.

The Container Service Client.

The Container Service Client.

Extracts information from forms and images into structured data.

Azure Application Insights workbook template type.

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 Azure SQL Server management API provides a RESTful set of web services that interact with Azure SQL Server services to manage your databases. The API enables users update server connection policy.

Azure DevOps Resource Provider

Azure EventGrid 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.

Creates an Azure Data Lake Analytics account management client.

REST API for Azure Logic Apps.

An API for QnAMaker Service

Microsoft.Intune Resource provider Api features in the swagger-2.0 specification

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.

The Container Service Client.