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- Correct answer : C — Production, where ML engineers own pipelines and data scientists keep read-only visibility. A . Staging is for automated pipeline testing before promotion, not for ML engineers managing live jobs while data scientists hold read-only debugging access. B . Development grants data scientists broad read-write control, which is the opposite of the read-only visibility described for the environment in this scenario. C . This matches the production environment's access pattern: ML engineers own and operate the deployed pipeline, while data scientists keep read-only visibility for monitoring and debugging rather than write access. D . The scenario describes normal day-to-day operation of the live pipeline, not a failover workspace that only activates during an outage.