What are common use cases for Data Usage Labeling and Enforcement (DULE) policies? (Select two.)

Question

Options

• APreventing activation of sensitive data to non-compliant destinations.
• BAssigning labels to audience segments for campaign purposes.
• CManaging data compliance with regulations like GDPR or CCPA.
• DExporting labeled data for external processing.

• A
  70% (26)
• B
  19% (7)
• D
  11% (4)

Explanation

DULE policies in Adobe Experience Platform serve two primary purposes: blocking sensitive data from flowing to destinations that haven't agreed to handle it (A), and enforcing regulatory compliance frameworks like GDPR and CCPA (C) by restricting how data can be used based on consent and legal obligations.

Why the distractors are wrong:

• B is incorrect because DULE labels are applied to data fields and datasets, not to audience segments for campaign targeting - that's the job of audience metadata or tags.
• D is incorrect because DULE is an enforcement mechanism that can prevent unauthorized exports, not a tool for enabling or facilitating external data exports.

Memory tip: Think of DULE as a compliance gatekeeper - it labels data with usage restrictions and then enforces those restrictions at activation points. If a question mentions "blocking," "preventing," "compliance," or "regulations," DULE is likely involved. If it mentions "campaign assignment" or "exporting," those are downstream marketing/ETL concerns outside DULE's scope.

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