aws/cloudformation-templates/deployment-support.yaml [20:47]:
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  PreIndexElasticsearch:
    Type: String
    Description: >
      Automatically index the Retail Demo Store products in Elasticsearch. Otherwise, select 'No' if you would
      prefer to complete this process yourself by stepping through the Search workshop included in this deployment
      as a Jupyter notebook in SageMaker.
    AllowedValues:
      - 'Yes'
      - 'No'
    Default: 'No'

  PreCreatePersonalizeCampaign:
    Type: String
    Description: >
      Automatically build solutions and launch Personalize campaigns. Otherwise, select 'No' if you would
      prefer to complete this process yourself by stepping through the Personalization workshop included in this deployment
      as a Jupyter notebook in SageMaker. Note that this process is done in the background after deployment finishes
      and can take 2+ hours to complete.
    AllowedValues:
      - 'Yes'
      - 'No'
    Default: 'No'

  PreCreatePinpointWorkshop:
    Type: String
    Description: >
      Automatically configure Pinpoint with messaging templates, segments, and campaigns. Otherwise, select 'No' if you would
      prefer to complete this process yourself by stepping through the Messaging workshop included in your deployment as a Jupyter notebook
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aws/cloudformation-templates/template.yaml [198:225]:
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  PreIndexElasticsearch:
    Type: String
    Description: >
      Automatically index the Retail Demo Store products in Elasticsearch. Otherwise, select 'No' if you would
      prefer to complete this process yourself by stepping through the Search workshop included in this deployment
      as a Jupyter notebook in SageMaker.
    AllowedValues:
      - 'Yes'
      - 'No'
    Default: 'No'

  PreCreatePersonalizeCampaign:
    Type: String
    Description: >
      Automatically build solutions and launch Personalize campaigns. Otherwise, select 'No' if you would
      prefer to complete this process yourself by stepping through the Personalization workshop included in this deployment
      as a Jupyter notebook in SageMaker. Note that this process is done in the background after deployment finishes
      and can take 2+ hours to complete.
    AllowedValues:
      - 'Yes'
      - 'No'
    Default: 'No'

  PreCreatePinpointWorkshop:
    Type: String
    Description: >
      Automatically configure Pinpoint with messaging templates, segments, and campaigns. Otherwise, select 'No' if you would
      prefer to complete this process yourself by stepping through the Messaging workshop included in your deployment as a Jupyter notebook
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