Mock sample for your project: Mixed Reality API

Azure Application Insights workbook template type.

AzureBridge Admin Client.

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.

The Admin Subscriptions Management Client.

The Container Service Client.

The Azure Management Groups API enables consolidation of multiple subscriptions/resources into an organizational hierarchy and centrally manage access control, policies, alerting and reporting for those resources.

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

Microsoft Customer Engagement Fabric

APIs to manage web application firewall rules.

The HDInsight Management Client.

The HDInsight Management Client.

The SAP HANA on Azure Management Client.

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

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.

REST API for Azure Logic Apps.

Azure Maintenance Management Client