Synchronize the data for the `AWS &gt; S3 &gt; Bucket` based on the `AWS &gt; S3 &gt; Bucket &gt; ServiceNow &gt; Import Set &gt; *` policies.<br /><br />The policy ensures that AWS &gt; S3 &gt; Bucket data is automatically sent through import sets, which then triggers transformations based on predefined transform maps in the import set table. 

Azure > Management Group

Azure > Subscription

Azure > Tenant

Azure > Active Directory > Directory

Kubernetes > Cluster

AWS > Account

GitHub > Repository

ServiceNow > Instance

GCP > Project

AWS > Amplify > App

AWS > Directory Service > Directory

AWS > Data Pipeline > Pipeline [Deprecated]

AWS > SageMaker > Domain

AWS > SageMaker > Endpoint

AWS > SageMaker > Endpoint Configuration

AWS > SageMaker > Model

AWS > SageMaker > Notebook Instance

AWS > SageMaker > Training Job

AWS > Region

AWS > EC2 > Instance

GCP > Folder

Azure > Resource Group

AWS > S3 > Bucket > ServiceNow > Import Set > Archive Columns

AWS > S3 > Bucket > ServiceNow > Import Set > Insert Mode

AWS > S3 > Bucket > ServiceNow > Import Set > Record

AWS > S3 > Bucket > ServiceNow > Import Set > Table Name

Synchronize the data for the `AWS &gt; S3 &gt; Bucket` based on the `AWS &gt; S3 &gt; Bucket &gt; ServiceNow &gt; Import Set &gt; *` policies.&#92;n&#92;nThe policy ensures that AWS &gt; S3 &gt; Bucket data is automatically sent through import sets, which then triggers transformations based on predefined transform maps in the import set table.&#92;n

AWS > S3 > Bucket > ServiceNow

AWS > S3 > Bucket

AWS > S3 > Bucket > ServiceNow > Import Set

Schema Type	`string`
Default	`Skip`
Valid Values [YAML]	`Skip` `Enforce: Sync, archive on delete`
Examples [YAML]	`Skip`

Policy: AWS > S3 > Bucket > ServiceNow > Import Set

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Primary Policy

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