Mock sample for your project: IoTSpacesClient API

The Admin Commerce Management Client.

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

ARM Databricks

Azure Log Analytics API reference for management of saved Queries within Query Packs.

Azure Alerts Management Service provides a single pane of glass of alerts across Azure Monitor.

Use these REST APIs for performing retrieving a collection of policy snippets available in Azure API Management deployment.

Use this REST API to get all the issues across an Azure Api Management service.

Azure EventGrid Management Client

The HDInsight Management Client.

A client for issuing REST requests to the Azure Batch service.

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

Azure IoT Central is a service that makes it easy to connect, monitor, and manage your IoT devices at scale.

Resource Provider

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.

ARM Databricks

Azure Cosmos DB Database Service Resource Provider REST API

Azure Bot Service is a platform for creating smart conversational agents.

Cognitive Services 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.

Azure Cosmos DB Database Service Resource Provider REST API