Mock sample for your project: Mixed Reality API

Integrate with "Mixed Reality API" from azure.com in no time with Mockoon's ready to use mock sample

Mixed Reality

azure.com

Version: 2019-02-28-preview


Use this API in your project

Speed up your application development by using "Mixed Reality API" ready-to-use mock sample. Mocking this API will allow you to start working in no time. No more accounts to create, API keys to provision, accesses to configure, unplanned downtime, just work.
It also improves your integration tests' quality and reliability by accounting for random failures, slow response time, etc.

Description

Mixed Reality Resource Provider REST API

Other APIs by azure.com

NetworkAdminManagementClient

azure.com
Virtual Network admin operation endpoints and objects.

azureactivedirectory

azure.com
Azure Active Directory Client.

ComputeManagementClient

azure.com
The Compute Management Client.

AutomationManagement

azure.com

Azure Enterprise Knowledge Graph Service

azure.com
Azure Enterprise Knowledge Graph Service is a platform for creating knowledge graphs at scale.

RecoveryServicesBackupClient

azure.com

QnAMaker Runtime Client

azure.com
An API for QnAMaker runtime

ADHybridHealthService

azure.com
REST APIs for Azure Active Directory Connect Health

Azure Machine Learning Workspaces

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

MariaDBManagementClient

azure.com
The Microsoft Azure management API provides create, read, update, and delete functionality for Azure MariaDB resources including servers, databases, firewall rules, VNET rules, log files and configurations with new business model.

Azure Log Analytics Query Packs

azure.com
Azure Log Analytics API reference for Query Packs management.

Compute Admin Client

azure.com

Other APIs in the same category

Azure Machine Learning Model Management Service

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

ApiManagementClient

azure.com
Use these REST APIs for performing operations to retrieve Products by Tags in Azure API Management deployment.

Amazon EMR Containers

Amazon EMR on EKS provides a deployment option for Amazon EMR that allows you to run open-source big data frameworks on Amazon Elastic Kubernetes Service (Amazon EKS). With this deployment option, you can focus on running analytics workloads while Amazon EMR on EKS builds, configures, and manages containers for open-source applications. For more information about Amazon EMR on EKS concepts and tasks, see What is Amazon EMR on EKS. Amazon EMR containers is the API name for Amazon EMR on EKS. The emr-containers prefix is used in the following scenarios: It is the prefix in the CLI commands for Amazon EMR on EKS. For example, aws emr-containers start-job-run. It is the prefix before IAM policy actions for Amazon EMR on EKS. For example,"Action": [ "emr-containers:StartJobRun"]. For more information, see Policy actions for Amazon EMR on EKS. It is the prefix used in Amazon EMR on EKS service endpoints. For example, emr-containers.us-east-2.amazonaws.com. For more information, see Amazon EMR on EKS Service Endpoints.

AWS IoT Wireless

AWS IoT Wireless API documentation

Amazon Prometheus Service

Amazon Managed Service for Prometheus

Amazon Kinesis Analytics

Amazon Kinesis Analytics Overview This documentation is for version 1 of the Amazon Kinesis Data Analytics API, which only supports SQL applications. Version 2 of the API supports SQL and Java applications. For more information about version 2, see Amazon Kinesis Data Analytics API V2 Documentation. This is the Amazon Kinesis Analytics v1 API Reference. The Amazon Kinesis Analytics Developer Guide provides additional information.

AWS Glue DataBrew

Glue DataBrew is a visual, cloud-scale data-preparation service. DataBrew simplifies data preparation tasks, targeting data issues that are hard to spot and time-consuming to fix. DataBrew empowers users of all technical levels to visualize the data and perform one-click data transformations, with no coding required.

AWS IoT Fleet Hub

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.

AWSKendraFrontendService

Amazon Kendra is a service for indexing large document sets.

Amazon Forecast Service

Provides APIs for creating and managing Amazon Forecast resources.

Amazon Macie 2

Amazon Macie is a fully managed data security and data privacy service that uses machine learning and pattern matching to discover and protect your sensitive data in AWS. Macie automates the discovery of sensitive data, such as PII and intellectual property, to provide you with insight into the data that your organization stores in AWS. Macie also provides an inventory of your Amazon S3 buckets, which it continually monitors for you. If Macie detects sensitive data or potential data access issues, it generates detailed findings for you to review and act upon as necessary.

AWS CodeStar

AWS CodeStar This is the API reference for AWS CodeStar. This reference provides descriptions of the operations and data types for the AWS CodeStar API along with usage examples. You can use the AWS CodeStar API to work with: Projects and their resources, by calling the following: DeleteProject, which deletes a project. DescribeProject, which lists the attributes of a project. ListProjects, which lists all projects associated with your AWS account. ListResources, which lists the resources associated with a project. ListTagsForProject, which lists the tags associated with a project. TagProject, which adds tags to a project. UntagProject, which removes tags from a project. UpdateProject, which updates the attributes of a project. Teams and team members, by calling the following: AssociateTeamMember, which adds an IAM user to the team for a project. DisassociateTeamMember, which removes an IAM user from the team for a project. ListTeamMembers, which lists all the IAM users in the team for a project, including their roles and attributes. UpdateTeamMember, which updates a team member's attributes in a project. Users, by calling the following: CreateUserProfile, which creates a user profile that contains data associated with the user across all projects. DeleteUserProfile, which deletes all user profile information across all projects. DescribeUserProfile, which describes the profile of a user. ListUserProfiles, which lists all user profiles. UpdateUserProfile, which updates the profile for a user.