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A multinational organization wants to use the Cloud Identity Engine (CIE) to aggregate identity data...

A multinational organization wants to use the Cloud Identity Engine (CIE) to aggregate identity data from multiple sources (on premises AD, Azure AD, Okta) while enforcing strict data isolation for different regional business units. Each region’s firewalls, managed via Panorama, must only receive the user and group information relevant to that region. The organization aims to minimize administrative overhead while meeting data sovereignty requirements.

Which approach achieves this segmentation of identity data?

A.

Create one CIE tenant, aggregate all identity data into a single view, and redistribute the full dataset to all firewalls. Rely on per-firewall Security policies to restrict access to out-of-scope user and group information.

B.

Establish separate CIE tenants for each business unit, integrating each tenant with the relevant identity sources. Redistribute user and group data from each tenant only to the region’s firewalls, maintaining a strict one-to-one mapping of tenant to business unit.

C.

Disable redistribution of identity data entirely. Instead, configure each regional firewall to pull user and group details directly from its local identity providers (IdPs).

D.

Deploy a single CIE tenant that collects all identity data, then configure segments within the tenant to filter and redistribute only the relevant user/group sets to each regional firewall group.

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