GCP Professional Cloud Security Engineer Practice Question
Your security team wants to retire an over-permissive custom IAM role that is bound to hundreds of service accounts across multiple projects. Before removing the role, they must quantify which workloads would lose the ability to access Cloud Storage objects and BigQuery datasets, and verify that least-privilege replacement roles will preserve required functionality. They also want to run the evaluation in a non-production environment without changing any live IAM policies. Which Policy Intelligence tool best meets these requirements?
Policy Simulator is designed for exactly this use case. It lets administrators model proposed IAM policy changes-such as removing a role binding-and then simulates access requests against historical audit logs to show which principals would lose or retain specific permissions. The simulation runs in an isolated environment, so it has no effect on production policies or workloads. IAM Recommender can suggest least-privilege roles but cannot predict the precise impact of a manual role removal; Policy Analyzer inventories current access but does not model changes; Policy Troubleshooter explains a single access decision rather than evaluating bulk changes across many principals.
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What is the IAM Policy Simulator?
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How does IAM Policy Simulator differ from IAM Recommender?
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What are audit logs, and why are they important in IAM Policy Simulator?
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What is the IAM Policy Simulator in GCP?
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How does IAM Policy Simulator differ from IAM Recommender?
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Can IAM Policy Simulator evaluate roles for multiple service accounts across projects?
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