An on-premise deployment that keeps the model and all: Considering deployment options, which choice best
A strict no-external-transfer rule is met by an on-premise deployment keeping data within the agency's facilities.
The question
A government agency must run an AI system where regulation forbids any citizen data from leaving its own controlled facilities. Considering deployment options, which choice best satisfies this constraint?
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- A public cloud deployment that runs the model on a third-party provider's shared multi-tenant infrastructurePublic cloud sends data to an external provider, directly conflicting with the residency prohibition.
- A vendor-hosted API deployment where all requests are processed on the provider's remote serversA hosted API transmits data to the provider's servers, which the regulation forbids.
- A hybrid deployment that continuously replicates the citizen data to an external cloud backupReplicating data to an external cloud still moves it outside the agency, breaching the constraint.
- An on-premise deployment that keeps the model and all citizen data within the agency's own facilities ✓On-premise hosting keeps data inside the agency's controlled environment, satisfying the no-external-transfer rule.
The trap
Assuming a hybrid or backup arrangement is compliant when it still transfers data outside the controlled facility. How to remember it
A strict no-external-transfer rule is met by an on-premise deployment keeping data within the agency's facilities.
How many of these would you get right?
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