Mock sample for your project: HDInsightJobManagementClient API

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

The Admin Backup Management Client.

Use these REST APIs for performing operations on Backend entity in Azure API Management deployment. The Backend entity in API Management represents a backend service that is configured to skip certification chain validation when using a self-signed certificate to test mutual certificate authentication.

Use these REST APIs for performing operations on Certificate entity in your Azure API Management deployment. Certificates can be used to setup mutual authentication with your Backend in API Management. For more information refer to How to secure backend using Mutual Auth Certificate.

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

Use these REST APIs for performing operations on OpenId Connect Provider entity associated with your Azure API Management deployment. API Management allows you to access APIs secured with token from OpenID Connect Provider to be accessed from the Developer Console.

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

Azure Application Insights client for favorites.

Use these REST APIs for querying APIs. Operations and Products by tags in your Azure API Management deployment.

Apis for customer in enterprise agreement migrate to new pricing model or rollback to legacy pricing model.

The Admin Storage Management Client.

Azure Application Insights workbook template type.

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

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.

Amazon Elastic File System Amazon Elastic File System (Amazon EFS) provides simple, scalable file storage for use with Amazon EC2 instances in the Amazon Web Services Cloud. With Amazon EFS, storage capacity is elastic, growing and shrinking automatically as you add and remove files, so your applications have the storage they need, when they need it. For more information, see the Amazon Elastic File System API Reference and the Amazon Elastic File System User Guide.

Amazon Comprehend is an AWS service for gaining insight into the content of documents. Use these actions to determine the topics contained in your documents, the topics they discuss, the predominant sentiment expressed in them, the predominant language used, and more.

The AWS Budgets API enables you to use AWS Budgets to plan your service usage, service costs, and instance reservations. The API reference provides descriptions, syntax, and usage examples for each of the actions and data types for AWS Budgets. Budgets provide you with a way to see the following information: How close your plan is to your budgeted amount or to the free tier limits Your usage-to-date, including how much you've used of your Reserved Instances (RIs) Your current estimated charges from AWS, and how much your predicted usage will accrue in charges by the end of the month How much of your budget has been used AWS updates your budget status several times a day. Budgets track your unblended costs, subscriptions, refunds, and RIs. You can create the following types of budgets: Cost budgets - Plan how much you want to spend on a service. Usage budgets - Plan how much you want to use one or more services. RI utilization budgets - Define a utilization threshold, and receive alerts when your RI usage falls below that threshold. This lets you see if your RIs are unused or under-utilized. RI coverage budgets - Define a coverage threshold, and receive alerts when the number of your instance hours that are covered by RIs fall below that threshold. This lets you see how much of your instance usage is covered by a reservation. Service Endpoint The AWS Budgets API provides the following endpoint: https://budgets.amazonaws.com For information about costs that are associated with the AWS Budgets API, see AWS Cost Management Pricing.

This is the Firewall Manager API Reference. This guide is for developers who need detailed information about the Firewall Manager API actions, data types, and errors. For detailed information about Firewall Manager features, see the Firewall Manager Developer Guide. Some API actions require explicit resource permissions. For information, see the developer guide topic Firewall Manager required permissions for API actions.

This is the Amazon Rekognition API reference.

Amazon Augmented AI (Amazon A2I) adds the benefit of human judgment to any machine learning application. When an AI application can't evaluate data with a high degree of confidence, human reviewers can take over. This human review is called a human review workflow. To create and start a human review workflow, you need three resources: a worker task template, a flow definition, and a human loop. For information about these resources and prerequisites for using Amazon A2I, see Get Started with Amazon Augmented AI in the Amazon SageMaker Developer Guide. This API reference includes information about API actions and data types that you can use to interact with Amazon A2I programmatically. Use this guide to: Start a human loop with the StartHumanLoop operation when using Amazon A2I with a custom task type. To learn more about the difference between custom and built-in task types, see Use Task Types. To learn how to start a human loop using this API, see Create and Start a Human Loop for a Custom Task Type in the Amazon SageMaker Developer Guide. Manage your human loops. You can list all human loops that you have created, describe individual human loops, and stop and delete human loops. To learn more, see Monitor and Manage Your Human Loop in the Amazon SageMaker Developer Guide. Amazon A2I integrates APIs from various AWS services to create and start human review workflows for those services. To learn how Amazon A2I uses these APIs, see Use APIs in Amazon A2I in the Amazon SageMaker Developer Guide.

This section provides documentation for the AWS RoboMaker API operations.

AWS Marketplace Entitlement Service This reference provides descriptions of the AWS Marketplace Entitlement Service API. AWS Marketplace Entitlement Service is used to determine the entitlement of a customer to a given product. An entitlement represents capacity in a product owned by the customer. For example, a customer might own some number of users or seats in an SaaS application or some amount of data capacity in a multi-tenant database. Getting Entitlement Records GetEntitlements - Gets the entitlements for a Marketplace product.