:doc:`CleanRoomsML <../../cleanroomsml>` / Client / start_audience_export_job

*************************
start_audience_export_job
*************************



.. py:method:: CleanRoomsML.Client.start_audience_export_job(**kwargs)

  

  Export an audience of a specified size after you have generated an audience.

  

  See also: `AWS API Documentation <https://docs.aws.amazon.com/goto/WebAPI/cleanroomsml-2023-09-06/StartAudienceExportJob>`_  


  **Request Syntax**
  ::

    response = client.start_audience_export_job(
        name='string',
        audienceGenerationJobArn='string',
        audienceSize={
            'type': 'ABSOLUTE'|'PERCENTAGE',
            'value': 123
        },
        description='string'
    )
    
  :type name: string
  :param name: **[REQUIRED]** 

    The name of the audience export job.

    

  
  :type audienceGenerationJobArn: string
  :param audienceGenerationJobArn: **[REQUIRED]** 

    The Amazon Resource Name (ARN) of the audience generation job that you want to export.

    

  
  :type audienceSize: dict
  :param audienceSize: **[REQUIRED]** 

    The size of the generated audience. Must match one of the sizes in the configured audience model.

    

  
    - **type** *(string) --* **[REQUIRED]** 

      Whether the audience size is defined in absolute terms or as a percentage. You can use the ``ABSOLUTE``  AudienceSize to configure out audience sizes using the count of identifiers in the output. You can use the ``Percentage``  AudienceSize to configure sizes in the range 1-100 percent.

      

    
    - **value** *(integer) --* **[REQUIRED]** 

      Specify an audience size value.

      

    
  
  :type description: string
  :param description: 

    The description of the audience export job.

    

  
  
  :returns: None
  **Exceptions**
  
  *   :py:class:`CleanRoomsML.Client.exceptions.ConflictException`

  
  *   :py:class:`CleanRoomsML.Client.exceptions.ValidationException`

  
  *   :py:class:`CleanRoomsML.Client.exceptions.AccessDeniedException`

  
  *   :py:class:`CleanRoomsML.Client.exceptions.ResourceNotFoundException`

  
  *   :py:class:`CleanRoomsML.Client.exceptions.ServiceQuotaExceededException`

  