AD0-E605 · Question #79
An architect for a healthcare organization has been given the following requirements from the organization's compliance and legal team regarding web analytics data collection: 1. The data collected on
The correct answer is A. Create two sandboxes, one which will collect the RHD data and one to collect the non-RHD data;. Separating RHD and non-RHD data into two sandboxes is the only configuration that prevents identity graph stitching from contaminating the personalization-safe sandbox. In AEP, sandboxes maintain completely isolated identity graphs - so the non-RHD sandbox holds only ECID-based p
Question
Options
- ACreate two sandboxes, one which will collect the RHD data and one to collect the non-RHD data;
- BCreate one sandbox and apply the RHD label to only the known customer identifiers
- CCreate one sandbox with two datasets, one which will be labeled as RHD and one that will be
- DConfigure one sandbox and use data retention policies to separate RHD and non-RHD data
How the community answered
(35 responses)- A77% (27)
- B3% (1)
- C9% (3)
- D11% (4)
Explanation
Separating RHD and non-RHD data into two sandboxes is the only configuration that prevents identity graph stitching from contaminating the personalization-safe sandbox. In AEP, sandboxes maintain completely isolated identity graphs - so the non-RHD sandbox holds only ECID-based profiles from the homepage, while the RHD sandbox holds authenticated profiles with CustomerHealthCareID. Because onsite personalization draws from the non-RHD sandbox, it never touches healthcare-linked data, satisfying both compliance and personalization requirements simultaneously.
Why the distractors fail:
- B (labels on identifiers in one sandbox): Data governance labels restrict downstream activation, but they don't stop the identity service from stitching the homepage ECID to the authenticated
CustomerHealthCareIDwithin the same sandbox - the unified profile itself becomes RHD-tainted, making personalization non-compliant. - C (two datasets in one sandbox): Same stitching problem - AEP's identity graph merges records across datasets within a sandbox when they share an ECID, so the "non-RHD" dataset's profiles still get linked to RHD records.
- D (data retention policies): Retention policies govern how long data is stored, not how identities are resolved or how data is classified - they don't provide any compliance boundary between RHD and non-RHD.
Memory tip: In AEP, labels = access control, sandboxes = identity isolation. Whenever a compliance requirement says "personalization must never touch RHD," that's a signal you need sandbox-level separation, because no label or dataset configuration can stop the identity graph from merging records that share the same ECID within a single sandbox.
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