Mock sample for your project: PolicyTrackedResourcesClient API

Client that can be used to manage and query indexes and documents, as well as manage other resources, on a search service.

Azure Application Insights client for favorites.

The Admin Storage Management Client.

Use these REST APIs for performing operations on NamedValue entity associated with your Azure API Management deployment. API Management policies are a powerful capability of the system that allow the publisher to change the behavior of the API through configuration. Policies are a collection of statements that are executed sequentially on the request or response of an API. Policy statements can be constructed using literal text values, policy expressions, and NamedValues. Each API Management service instance has a NamedValues collection of key/value pairs that are global to the service instance. These NamedValues can be used to manage constant string values across all API configuration and policies.

An API for QnAMaker Service

Azure Application Insights client for web test based alerting.

Azure Application Insights client for web test based alerting.

Use these REST APIs for performing operations in Azure API Management deployment.

Creates a Microsoft.DataShare management client.

Volume operation endpoints and objects.

Edge gateway pool operation endpoints and objects.

The Admin Storage Management Client.

Contains all data plane API operations and data types for the Amazon SageMaker Feature Store. Use this API to put, delete, and retrieve (get) features from a feature store. Use the following operations to configure your OnlineStore and OfflineStore features, and to create and manage feature groups: CreateFeatureGroup DeleteFeatureGroup DescribeFeatureGroup ListFeatureGroups

Batch Using Batch, you can run batch computing workloads on the Cloud. Batch computing is a common means for developers, scientists, and engineers to access large amounts of compute resources. Batch uses the advantages of this computing workload to remove the undifferentiated heavy lifting of configuring and managing required infrastructure. At the same time, it also adopts a familiar batch computing software approach. Given these advantages, Batch can help you to efficiently provision resources in response to jobs submitted, thus effectively helping you to eliminate capacity constraints, reduce compute costs, and deliver your results more quickly. As a fully managed service, Batch can run batch computing workloads of any scale. Batch automatically provisions compute resources and optimizes workload distribution based on the quantity and scale of your specific workloads. With Batch, there's no need to install or manage batch computing software. This means that you can focus your time and energy on analyzing results and solving your specific problems.

Amazon Managed Service for Prometheus

The Azure Serial Console allows you to access the serial console of a Virtual Machine or VM scale set instance

The Container Service Client.

Azure Monitor API reference for Private Links Scopes management.

The service is used to perform ink layout and recognition of written words and shapes. Ink strokes passed to the service are recognized and organized into recognition results in the response

The Azure Instance Metadata Client

Creates an Azure Data Lake Store filesystem client.

The Container Service Client.

The Azure management API provides a RESTful set of web services that interact with Azure Dedicated HSM RP.