Mock sample for your project: StorageManagementClient API

Storage system operation endpoints and objects.

REST API for Azure Blockchain Service

APIs to manage web application firewall rules for Azure CDN

The DNS Management Client.

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 key vault client performs cryptographic key operations and vault operations against the Key Vault service.

The Computer Vision API provides state-of-the-art algorithms to process images and return information. For example, it can be used to determine if an image contains mature content, or it can be used to find all the faces in an image. It also has other features like estimating dominant and accent colors, categorizing the content of images, and describing an image with complete English sentences. Additionally, it can also intelligently generate images thumbnails for displaying large images effectively.

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

The SAP HANA on Azure Management Client.

REST API for Azure Logic Apps.

The HDInsight Management Client.

Amazon Kinesis Data Firehose API Reference Amazon Kinesis Data Firehose is a fully managed service that delivers real-time streaming data to destinations such as Amazon Simple Storage Service (Amazon S3), Amazon Elasticsearch Service (Amazon ES), Amazon Redshift, and Splunk.

The Admin Subscriptions Management Client.

Contact Lens for Amazon Connect enables you to analyze conversations between customer and agents, by using speech transcription, natural language processing, and intelligent search capabilities. It performs sentiment analysis, detects issues, and enables you to automatically categorize contacts. Contact Lens for Amazon Connect provides both real-time and post-call analytics of customer-agent conversations. For more information, see Analyze conversations using Contact Lens in the Amazon Connect Administrator Guide.

To manage and control access to your resources, you can define customized policies and assign them at a scope.

Microsoft Azure Mobile Engagement REST APIs.

An API for QnAMaker Service

Creates an Azure Data Lake Store filesystem client.

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

Azure Digital Twins Client for managing DigitalTwinsInstance

Azure Maintenance Management Client

Creates an Azure Data Lake Analytics job client.