Mock sample for your project: AppConfigurationManagementClient API

Mixed Reality Resource Provider Spatial Anchors Resource API

These APIs allow end users to operate on Azure Machine Learning Team Account resources. They support CRUD operations for Azure Machine Learning Team Accounts.

Region health operation endpoints and objects.

Use these REST APIs for performing operations on entities like API, Product, and Subscription associated with your Azure API Management deployment.

Use these REST APIs for performing operations on tenant entity associated with your Azure API Management deployment. Using this entity you can manage properties and configuration that apply to the entire API Management service instance.

APIs for Azure Smart Detector Alert Rules CRUD operations.

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

Use these REST APIs for performing retrieve a collection of Apis associated with a tag in Azure API Management deployment.

Use these REST APIs for performing operations to retrieve Products by Tags in Azure API Management deployment.

REST APIs for Azure Active Directory Connect Health

The Amazon API Gateway Management API allows you to directly manage runtime aspects of your deployed APIs. To use it, you must explicitly set the SDK's endpoint to point to the endpoint of your deployed API. The endpoint will be of the form https://{api-id}.execute-api.{region}.amazonaws.com/{stage}, or will be the endpoint corresponding to your API's custom domain and base path, if applicable.

The Admin Compute Disk Management Client.

Edge gateway pool operation endpoints and objects.

Deployment Admin Client.

The control plane for Amazon QLDB

AzureBridge Admin Client.

AWS Data Pipeline configures and manages a data-driven workflow called a pipeline. AWS Data Pipeline handles the details of scheduling and ensuring that data dependencies are met so that your application can focus on processing the data. AWS Data Pipeline provides a JAR implementation of a task runner called AWS Data Pipeline Task Runner. AWS Data Pipeline Task Runner provides logic for common data management scenarios, such as performing database queries and running data analysis using Amazon Elastic MapReduce (Amazon EMR). You can use AWS Data Pipeline Task Runner as your task runner, or you can write your own task runner to provide custom data management. AWS Data Pipeline implements two main sets of functionality. Use the first set to create a pipeline and define data sources, schedules, dependencies, and the transforms to be performed on the data. Use the second set in your task runner application to receive the next task ready for processing. The logic for performing the task, such as querying the data, running data analysis, or converting the data from one format to another, is contained within the task runner. The task runner performs the task assigned to it by the web service, reporting progress to the web service as it does so. When the task is done, the task runner reports the final success or failure of the task to the web service.

Provides APIs for creating and managing Amazon SageMaker resources. Other Resources: Amazon SageMaker Developer Guide Amazon Augmented AI Runtime API Reference