Mock sample for your project: Azure Machine Learning Datastore Management Client API

Integrate with "Azure Machine Learning Datastore Management Client API" from azure.com in no time with Mockoon's ready to use mock sample

Azure Machine Learning Datastore Management Client

azure.com

Version: 2019-09-30


Use this API in your project

Integrate third-party APIs faster by using "Azure Machine Learning Datastore Management Client 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.
Improve your integration tests by mocking third-party APIs and cover more edge cases: slow response time, random failures, etc.

Description

Other APIs by azure.com

GuestConfiguration

azure.com

MonitorManagementClient

azure.com

ApiManagementClient

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

AuthorizationManagementClient

azure.com
Role based access control provides you a way to apply granular level policy administration down to individual resources or resource groups. These operations enable you to manage role definitions and role assignments. A role definition describes the set of actions that can be performed on resources. A role assignment grants access to Azure Active Directory users.

DeploymentAdminClient

azure.com
Deployment Admin Client.

ACE Provisioning ManagementPartner

azure.com
This API describe ACE Provisioning ManagementPartner

Azure DevOps

azure.com
Azure DevOps Resource Provider

AuthorizationManagementClient

azure.com
Role based access control provides you a way to apply granular level policy administration down to individual resources or resource groups. These operations enable you to get deny assignments. A deny assignment describes the set of actions on resources that are denied for Azure Active Directory users.

AuthorizationManagementClient

azure.com
Role based access control provides you a way to apply granular level policy administration down to individual resources or resource groups. These calls handle provider operations.

Management Groups

azure.com
The Azure Management Groups API enables consolidation of multiple subscriptions/resources into an organizational hierarchy and centrally manage access control, policies, alerting and reporting for those resources.

AutomationManagement

azure.com

ManagedLabsClient

azure.com
The Managed Labs Client.

Other APIs in the same category

NetworkManagementClient

azure.com
The Microsoft Azure Network management API provides a RESTful set of web services that interact with Microsoft Azure Networks service to manage your network resources. The API has entities that capture the relationship between an end user and the Microsoft Azure Networks service.

Amazon Honeycode

Amazon Honeycode is a fully managed service that allows you to quickly build mobile and web apps for teamsβ€”without programming. Build Honeycode apps for managing almost anything, like projects, customers, operations, approvals, resources, and even your team.

DeploymentAdminClient

azure.com
Deployment Admin Client.

ApiManagementClient

azure.com
Use these REST APIs for performing operations on Identity Provider entity associated with your Azure API Management deployment. Setting up an external Identity Provider for authentication can help you manage the developer portal logins using the OAuth2 flow.

GalleryManagementClient

azure.com
The Admin Gallery Management Client.

ApiManagementClient

azure.com
Use these REST APIs for performing operations on Property 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 properties. Each API Management service instance has a properties collection of key/value pairs that are global to the service instance. These properties can be used to manage constant string values across all API configuration and policies.

AutomationManagement

azure.com

AzureBridgeAdminClient

azure.com
AzureBridge Admin Client.

AutomationManagement

azure.com

Amazon WorkDocs

The WorkDocs API is designed for the following use cases: File Migration: File migration applications are supported for users who want to migrate their files from an on-premises or off-premises file system or service. Users can insert files into a user directory structure, as well as allow for basic metadata changes, such as modifications to the permissions of files. Security: Support security applications are supported for users who have additional security needs, such as antivirus or data loss prevention. The API actions, along with AWS CloudTrail, allow these applications to detect when changes occur in Amazon WorkDocs. Then, the application can take the necessary actions and replace the target file. If the target file violates the policy, the application can also choose to email the user. eDiscovery/Analytics: General administrative applications are supported, such as eDiscovery and analytics. These applications can choose to mimic or record the actions in an Amazon WorkDocs site, along with AWS CloudTrail, to replicate data for eDiscovery, backup, or analytical applications. All Amazon WorkDocs API actions are Amazon authenticated and certificate-signed. They not only require the use of the AWS SDK, but also allow for the exclusive use of IAM users and roles to help facilitate access, trust, and permission policies. By creating a role and allowing an IAM user to access the Amazon WorkDocs site, the IAM user gains full administrative visibility into the entire Amazon WorkDocs site (or as set in the IAM policy). This includes, but is not limited to, the ability to modify file permissions and upload any file to any user. This allows developers to perform the three use cases above, as well as give users the ability to grant access on a selective basis using the IAM model.

AutomationManagement

azure.com

AWS Step Functions

AWS Step Functions AWS Step Functions is a service that lets you coordinate the components of distributed applications and microservices using visual workflows. You can use Step Functions to build applications from individual components, each of which performs a discrete function, or task, allowing you to scale and change applications quickly. Step Functions provides a console that helps visualize the components of your application as a series of steps. Step Functions automatically triggers and tracks each step, and retries steps when there are errors, so your application executes predictably and in the right order every time. Step Functions logs the state of each step, so you can quickly diagnose and debug any issues. Step Functions manages operations and underlying infrastructure to ensure your application is available at any scale. You can run tasks on AWS, your own servers, or any system that has access to AWS. You can access and use Step Functions using the console, the AWS SDKs, or an HTTP API. For more information about Step Functions, see the AWS Step Functions Developer Guide .