Mock sample for your project: FabricAdminClient API

Deployment Admin Client.

Azure Application Insights client for ProactiveDetection configurations of a component.

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 Container Service Client.

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

Edge gateway pool operation endpoints and objects.

Infrastructure role operation endpoints and objects.

Azure client for Workbook.

Subscription client provides an interface to create and manage Azure subscriptions programmatically.

The Azure Analysis Services Web API provides a RESTful set of web services that enables users to create, retrieve, update, and delete Analysis Services servers

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 DNS Management Client.

An API for QnAMaker runtime

Azure Cosmos DB Database Service Resource Provider REST API

The Container Service Client.

The Data Migration Service helps people migrate their data from on-premise database servers to Azure, or from older database software to newer software. The service manages one or more workers that are joined to a customer's virtual network, which is assumed to provide connectivity to their databases. To avoid frequent updates to the resource provider, data migration tasks are implemented by the resource provider in a generic way as task resources, each of which has a task type (which identifies the type of work to run), input, and output. The client is responsible for providing appropriate task type and inputs, which will be passed through unexamined to the machines that implement the functionality, and for understanding the output, which is passed back unexamined to the client.

The Anomaly Finder API detects anomalies automatically in time series data. It supports two functionalities, one is for detecting the whole series with model trained by the timeseries, another is detecting last point with model trained by points before. By using this service, business customers can discover incidents and establish a logic flow for root cause analysis.

The Container Service Client.

Creates an Azure Data Lake Analytics account management client.

Azure Digital Twins Client for managing DigitalTwinsInstance

An API for QnAMaker Service