Mock sample for your project: Certificates API Client

Creates an Azure Data Lake Analytics catalog client.

These APIs allow end users to operate on Azure Machine Learning Web Services resources. They support the following operations: Create or update a web service Get a web service Patch a web service Delete a web service Get All Web Services in a Resource Group Get All Web Services in a Subscription Get Web Services Keys

All resource groups and resources exist within subscriptions. These operation enable you get information about your subscriptions and tenants. A tenant is a dedicated instance of Azure Active Directory (Azure AD) for your organization.

Deployment Admin Client.

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

PowerBI Dedicated Web API provides a RESTful set of web services that enables users to create, retrieve, update, and delete Power BI dedicated capacities

The Admin Gallery Management Client.

The DNS Management Client.

Creates an Azure Data Lake Analytics account management client.

Storage operation results.

Public IP Address admin endpoints and objects.

Azure Data Lake Storage provides storage for Hadoop and other big data workloads.

Description of the new service

Use these APIs to manage Azure Websites resources through the Azure Resource Manager. All task operations conform to the HTTP/1.1 protocol specification and each operation returns an x-ms-request-id header that can be used to obtain information about the request. You must make sure that requests made to these resources are secure. For more information, see https://msdn.microsoft.com/en-us/library/azure/dn790557.aspx.

The Graph RBAC Management Client

Azure Event Hubs client

The HDInsight Job 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.

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

APIs for workload monitoring

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 and configurations with new business model.

The Private DNS Management Client.