Mock sample for your project: HealthcareApisClient API

These APIs allow end users to operate on Azure Machine Learning Compute resources. They support the following operations: Create or update a cluster Get a cluster Patch a cluster Delete a cluster Get keys for a cluster Check if updates are available for system services in a cluster Update system services in a cluster Get all clusters in a resource group Get all clusters in a subscription

Azure Monitor client to create/update/delete metric based alerts.

Extracts information from forms and images into structured data.

The HDInsight Management Client.

ARM Databricks

Use these REST APIs for performing operations on User entity in Azure API Management deployment. The User entity in API Management represents the developers that call the APIs of the products to which they are subscribed.

Use these REST APIs for performing operations on Subscription entity associated with your Azure API Management deployment. The Subscription entity represents the association between a user and a product in API Management. Products contain one or more APIs, and once a product is published, developers can subscribe to the product and begin to use the product’s APIs.

You use the API to scan your content as it is generated. Content Moderator then processes your content and sends the results along with relevant information either back to your systems or to the built-in review tool. You can use this information to take decisions e.g. take it down, send to human judge, etc.
When using the API, images need to have a minimum of 128 pixels and a maximum file size of 4MB.
Text can be at most 1024 characters long.
If the content passed to the text API or the image API exceeds the size limits, the API will return an error code that informs about the issue.

The HDInsight Management Client.

The Admin Fabric Management Client.

Use these REST APIs for performing operations on Tag entity in your Azure API Management deployment. Tags can be assigned to APIs, Operations and Products.

Provides create, read, update and delete functionality for Azure SQL Database resources including servers, databases, elastic pools, recommendations, operations, and usage metrics.

Amazon MQ is a managed message broker service for Apache ActiveMQ and RabbitMQ that makes it easy to set up and operate message brokers in the cloud. A message broker allows software applications and components to communicate using various programming languages, operating systems, and formal messaging protocols.

Use these REST APIs for performing retrieving a collection of policy snippets available in Azure API Management deployment.

Azure Application Insights client for web test locations.

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

With Fleet Hub for AWS IoT Device Management you can build stand-alone web applications for monitoring the health of your device fleets. Fleet Hub for AWS IoT Device Management is in public preview and is subject to change.

The Amazon Braket API Reference provides information about the operations and structures supported in Amazon Braket.

Use these REST APIs for performing operations on User entity in Azure API Management deployment. The User entity in API Management represents the developers that call the APIs of the products to which they are subscribed.

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

AWS Service Catalog AWS Service Catalog enables organizations to create and manage catalogs of IT services that are approved for AWS. To get the most out of this documentation, you should be familiar with the terminology discussed in AWS Service Catalog Concepts.