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content/en/docs/apidocs-mxsdk/apidocs/deployment/private-cloud-deploy-api.md

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Please note that there is a limited support for Custom permissions in Deploy APIs.
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In order to create or manage environments in a namespace through an API, the technical contact must have a role assigned to the namespace permissions.
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## API Reference
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content/en/docs/apidocs-mxsdk/apidocs/governance/user-identifiers-api.md

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The User Identifiers API allows Mendix admins to perform operations related to user identifiers within their company, such as obtaining the user UUIDs of specific email addresses.
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The User Identifiers API supports a maximum of 100 users per request/response.
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The User Identifiers API supports a maximum of 100 email addresses per request. Any email addresses exceeding this limit will be ignored.
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## Authentication{#authentication}

content/en/docs/appstore/use-content/partner-solutions/mta/_index.md

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## Introduction
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[Menditect Test Automation (MTA)](https://marketplace.mendix.com/link/component/120116) is a tool for automated regression testing. MTA offers a no-code, visual suite of automated test tools for embedding unit, component, process and API testing into your application lifecycle. For more information, see the [Menditect](https://menditect.com/) website.
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[Menditect Test Automation (MTA)](https://marketplace.mendix.com/link/component/120116) is a tool for automated regression testing. MTA offers a no-code, visual suite of automated test tools for embedding unit, component, process, User interface (UI), and API testing into your application lifecycle. For more information, see the [Menditect](https://menditect.com/) website.
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For more information about purchasing MTA, contact your Customer Success Manager (CSM) or fill out the contact [form](https://www.mendix.com/contact-us/#contactform).
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* The application model being tested must be stored in the Mendix Team Server repository.
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* The MTA application and the application under test must be able to establish network connectivity with the Mendix platform APIs, including the Mendix Team Server and Project APIs.
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For UI testing, MTA requires Playwright. The supported options are self-hosted Playwright or BrowserStack SaaS instances.
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Currently, MTA cannot be used for apps using an on-premises Git repository or running in a fully air-gapped scenario.
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content/en/docs/appstore/use-content/platform-supported-content/modules/aws/amazon-eventbridge.md

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2. Click on the element for which you want to view the documentation.
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{{< figure src="/attachments/appstore/platform-supported-content/modules/technical-reference/doc-pane.png" class="no-border" >}}
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For additional reference, the available activities are listed below.
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### Activities
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[Activities](/refguide/activities/) define the actions that are executed in a microflow or a nanoflow.
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The Amazon EventBridge connector contains the following activities:
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* `UpdateConnection` - Update connections in your AWS console from your Mendix app.
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* `PutEvents` - Send custom events to Amazon EventBridge so that they can be matched to rules.
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* `CreateConnection` - Create new connections in your AWS console from your Mendix app.
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* `CreateApiDestination` - Create a custom API destination in your AWS console inside the Amazon EventBridge service so that events can be routed to the provided endpoint.
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* `Endpoint parametrization` - Extends upon `CreateApiDestination`. In the `CreateApiDestination` request, you can configure the boolean attribute Wildcard. Upon setting this attribute to true, the API endpoint resource in Amazon EventBridge will have the wildcard `*` suffixed to configured invocation endpoint. This wildcard token acts as a placeholder to be replaced by a value that resides within the event body. An example of this would be a REST API for an order service where an order ID is passed as a path parameter: `http://myhosturl.com/rest/orderservice/v1/{orderID}`.
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* `DescribeConnection` - Get details on a specific connection that exists within EventBridge.
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* `DescribeApiDestination` - Get details on a specific API destination that exists within EventBridge.
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* `UpdateApiDestination` - Update a specific API destination that exists within EventBridge.
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* `RegisterMyMendixApp` - This custom microflow registers your Mendix application into the Amazon EventBridge service in the specified region.
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* `CreateConfiguration` - This Java action allows you to create an `EventRoutingConfiguration` object for each event that you would want to be able to call.

content/en/docs/appstore/use-content/platform-supported-content/modules/aws/amazon-location-service.md

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{{< figure src="/attachments/appstore/platform-supported-content/modules/technical-reference/doc-pane.png" class="no-border" >}}
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For additional reference, the available activities are listed below.
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### Activities
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[Activities](/refguide/activities/) define the actions that are executed in a microflow or a nanoflow.
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The Amazon Location Service connector contains the following activities:
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* `CalculateRoute` - Calculate a route between multiple points and returns the distance and duration of the proposed routes.
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* `SearchPlaceIndexForPosition` - Takes a set of coordinates and returns the nearest points of interest.
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* `SearchPlaceIndexForText` - Geocodes free-form text, such as an address, name, city, or region to allow you to search for places or points of interest.

content/en/docs/appstore/use-content/platform-supported-content/modules/aws/amazon-polly.md

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For additional reference, the available activities are listed below.
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### Activities
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[Activities](/refguide/activities/) define the actions that are executed in a microflow or a nanoflow.
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The Amazon Polly connector contains the following activities:
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* `SynthesizeSpeech` - Allows you to synthesize a string of text into an audio file.
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* `DescribeVoices` - Returns the list of voices from the Amazon Polly service. For more Amazon Polly voices and their information, see [Voices in Amazon Polly](https://docs.aws.amazon.com/polly/latest/dg/voicelist.html).

content/en/docs/appstore/use-content/platform-supported-content/modules/aws/amazon-rekognition.md

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For additional reference, the available activities are listed below.
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### Activities {#activities}
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[Activities](/refguide/activities/) define the actions that are executed in a microflow or a nanoflow.
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The Amazon Rekognition connector contains the following activities:
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* `CompareFaces` - This service compares a face in the source input image with each of the 100 largest faces detected in the target input image. If the source image contains multiple faces, the service detects the largest face and compares it with each face detected in the target image.
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* `DetectCustomLabels` - This service detects custom labels in a supplied image by using an Amazon Rekognition Custom Labels model. You specify which version of a model version to use by using the `ProjectVersionArn` input parameter.
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* `DetectFaces` - This service detects faces within an image that is provided as input.
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* `DetectModerationLabels` - This service detects unsafe content in a specified image (JPEG or PNG). Use `DetectModerationLabels` to moderate images depending on your requirements. For example, you might want to filter images that contain nudity, but not images containing suggestive content.
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* `DetectLabels` - This service detects instances of real-world entities within an image (JPEG or PNG) that is provided as input. This includes objects like flower, tree, and table; events like wedding, graduation, and birthday party; and concepts like landscape, evening, and nature.
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* `DetectText` - This service detects text in the input image and converts it into machine-readable text.
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* `DetectProtectiveEquipment` - This service detects Personal Protective Equipment (PPE) worn by people detected in an image. Amazon Rekognition can detect face, hand, and head covers.
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* `RecognizeCelebrities` - This service returns an array of celebrities recognized in the input image.
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* JavaScript actions - These actions provide an additional way to extend the functionality of your application. For more information, see [JavaScript Actions](/refguide/javascript-actions/).
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* `Image_AddBoundingBox` - This nanoflow action can be used to generate a rectangle around the labels that have been identified on an image. It makes use of a JavaScript action inside the Nanoflow. The image upon which the rectangles are to be generated must be contained in a container. As a result, the nanoflow action can only be executed after the page has been rendered.

content/en/docs/appstore/use-content/platform-supported-content/modules/aws/amazon-translate.md

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For additional reference, the available activities are listed below.
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### Activities
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[Activities](/refguide/activities/) define the actions that are executed in a microflow or a nanoflow.
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The Amazon Translate connector contains the following activities:
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* `ListLanguages` - This action allows you to retrieve a list of supported languages that can used for translation.
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* `TranslateText` - This action allow you to retrieve the translation of the input text.

content/en/docs/appstore/use-content/platform-supported-content/modules/aws/aws-dynamodb.md

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For additional reference, the available activities are listed below.
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### Activities
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[Activities](/refguide/activities/) define the actions that are executed in a microflow or a nanoflow. For the Amazon DynamoDB connector, they represent the actions that can be performed on DynamoDB database tables.
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The Amazon DynamoDB connector contains the following activities:
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* `BatchGetItem` - Get multiple items from DynamoDB in a single call.
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* `ListTables` - Retrieve a list of `Table` objects for a given region, which contains the table's name.
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* `DescribeTable` - Get a description from a given table inside DynamoDB.
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* `BatchWriteItem` - Put or delete multiple items from DynamoDB in a single call.
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* `DeleteItem` - Delete an item from a given table from your DynamoDB environment.
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* `ScanTable` - Retrieve items from an Amazon DynamoDB table.
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* `PutItem` - Put and update an item in DynamoDB.
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* `GetItem` - Get an item from DynamoDB.

content/en/docs/appstore/use-content/platform-supported-content/modules/aws/aws-iot-sitewise.md

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For additional reference, the available activities are listed below.
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### Activities
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[Activities](/refguide/activities/) define the actions that are executed in a microflow or a nanoflow.
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The AWS IoT SiteWise connector contains the following activities:
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* `ListAssetModels` - Retrieve a list of all asset model summaries for the given region.
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* `DescribeAssetModel` - Retrieve information about an asset model.
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* `ListProjects`- Retrieve a list of all project summaries for an AWS IoT SiteWise Monitor portal.
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* `DescribeProject` - Get details on a specific project that exists within your AWS environment.
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* `ListPortals` - Retrieve a list of all portal summaries for the given region.
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* `ListAssets` - Retrieve a list of all asset summaries for the given region.
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* `ListProjectAssets` - Retrieve a list of assets belonging to a project.
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* `DescribeAsset` - Retrieve information for a given asset.
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* `ListAssociatedAssets` - Retrieve a list of all associated assets for the given asset.
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* `ListAssetRelationships` - Retrieve a list of asset relationships for an asset.
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* `DescribeAssetProperty` - Retrieve information about an asset property.
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* `GetAssetPropertyValue` - Retrieve an asset property's current value.
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* `GetAssetPropertyValueHistory` - Retrieve a set of an asset property's historic values.
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* `GetAssetPropertyAggregates` - Retrieve aggregated values for an asset property.
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* `BatchGetAssetPropertyValue` - Get the current value for one or more asset properties.
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* `BatchGetAssetPropertyValueHistory` - Get the historical values for one or more asset properties.
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* `BatchPutAssetPropertyValue` - Put values for one or more asset properties. It requires a valid `ENUM_Region` parameter and a `BatchPutAssetPropertyValueRequest` object and returns a `BatchPutAssetPropertyValueResponse` object.
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* `JA_FindNearestSecond` - The `GetAssetPropertyValueHistory`, `GetAssetPropertyAggregates` and `BatchGetAssetPropertyValueHistory` Amazon Iot SiteWise activities have two attributes call `StartDate` and `EndDate` that can be given to describe the range from which to query historical data. The date and time variable given to these two attributes must be expressed in seconds (millisecond must be 000). For our users to be able to find the nearest second to their chosen time if need be, we have created the `JA_FindNearestSecond` Java action with three different enum variables for the `FindType` parameter.

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