Mock sample for your project: DiskResourceProviderClient API

API for using the Azure IoT Hub Device Provisioning Service features.

API spec for Microsoft.Security (Azure Security Center) resource provider

Azure DevOps Resource Provider

Use these APIs to manage Azure Front Door resources through the Azure Resource Manager. You must make sure that requests made to these resources are secure.

Deployment Admin Client.

The HDInsight Job Client.

Microsoft.Intune Resource provider Api features in the swagger-2.0 specification

These APIs allow end users to operate on Azure Machine Learning Workspace resources.

Alert operation endpoints and objects.

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.

Catalog API actions allow you to manage your entities through list, describe, and update capabilities. An entity can be a product or an offer on AWS Marketplace. You can automate your entity update process by integrating the AWS Marketplace Catalog API with your AWS Marketplace product build or deployment pipelines. You can also create your own applications on top of the Catalog API to manage your products on AWS Marketplace.

Manage Multi-Access Keys (MAK) that enable Windows Extended Security Updates (ESU).

The Hybrid Compute Management Client.

Use these REST APIs to get the analytics reports associated with your Azure API Management deployment.

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 DevTest Labs Client.

Amazon Data Lifecycle Manager With Amazon Data Lifecycle Manager, you can manage the lifecycle of your Amazon Web Services resources. You create lifecycle policies, which are used to automate operations on the specified resources. Amazon DLM supports Amazon EBS volumes and snapshots. For information about using Amazon DLM with Amazon EBS, see Automating the Amazon EBS Snapshot Lifecycle in the Amazon EC2 User Guide.

Network admin operation endpoints and objects.

Network operation results.

These APIs allow end users to manage Azure Machine Learning Models, Images, Profiles, and Services.

The Container Service Client.

Scale unit operation endpoints and objects.