Mock sample for your project: ApiManagementClient API

Azure Application Insights client for web test locations.

The Azure Serial Console allows you to access the serial console of a Virtual Machine or VM scale set instance

The Admin KeyVault Management Client.

Deployment Admin Client.

Logical subnet operation endpoints and objects.

The Admin Subscriptions Management Client.

Resource provider health operation endpoints and objects.

Scale unit operation endpoints and objects.

APIs for managing software update configurations.

Deployment Admin Client.

Azure client for Workbook.

Use these REST APIs for performing operations on Email Templates associated with your Azure API Management deployment.

Azure Event Hubs client for managing Event Hubs Cluster, IPFilter Rules and VirtualNetworkRules resources.

The Microsoft Azure Managed Network management API provides a RESTful set of web services that interact with Microsoft Azure Networks service to programmatically view, control, change, and monitor your entire Azure network centrally and with ease.

You use the API to scan your content as it is generated. Content Moderator then processes your content and sends the results along with relevant information either back to your systems or to the built-in review tool. You can use this information to take decisions e.g. take it down, send to human judge, etc.
When using the API, images need to have a minimum of 128 pixels and a maximum file size of 4MB.
Text can be at most 1024 characters long.
If the content passed to the text API or the image API exceeds the size limits, the API will return an error code that informs about the issue.

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.

Azure Service Fabric Resource Provider API Client

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.

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.

These APIs allow end users to manage Azure Machine Learning Models, Images, Profiles, and Services.

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