Mock sample for your project: windowsesu API

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

Use these REST APIs for performing operations on Tag entity in your Azure API Management deployment. Tags can be assigned to APIs, Operations and Products.

Azure Application Insights client for web test based alerting.

Use these REST APIs for performing operations on Diagnostic entity associated with your Azure API Management deployment. Diagnostics are used to log requests/responses in the APIM proxy.

The Admin Gallery Management Client.

Resource health operation endpoints and objects.

Logical network operation endpoints and objects.

Azure Enterprise Knowledge Graph Service is a platform for creating knowledge graphs at scale.

Drive operation endpoints and objects.

Alert operation endpoints and objects.

Time Series Insights environment data plane client for PAYG (Preview L1 SKU) environments.

Mixed Reality Resource Provider Remote Rendering Resource API

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.

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

These APIs allow end users to operate on Azure Machine Learning Compute resources. They support the following operations: Create or update a cluster Get a cluster Patch a cluster Delete a cluster Get keys for a cluster Check if updates are available for system services in a cluster Update system services in a cluster Get all clusters in a resource group Get all clusters in a subscription

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.

REST APIs for orchestrating deployments using the Azure Deployment Manager (ADM). See https://docs.microsoft.com/en-us/azure/azure-resource-manager/deployment-manager-overview for more information.

The Container Service Client.

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