AWS Certified AI Practitioner AIF-C01 Practice Question
An AI team is preparing a new generative-AI feature for launch. To align with AWS guidance, they complete the Generative AI Security Scoping Matrix at the start of the security review. What is the primary outcome of using this matrix?
A classification that determines how extensive the subsequent security review must be
Detailed least-privilege IAM policies for every AWS resource the feature uses
A full threat model listing all potential attack vectors against the feature
A control-mapping document that links the feature to ISO 27001 requirements
The Generative AI Security Scoping Matrix is an AWS governance aid that walks teams through considerations such as model ownership, data sensitivity, and deployment approach. The answers assign the workload to a scope (1-5) that tells the organization how deep the follow-on security review must be-for example, whether extra access reviews, penetration tests, or executive sign-off are required. The matrix itself does not produce encryption instructions, IAM policies, or compliance mappings; it simply sets the level of subsequent security work. Therefore, determining the required level of security review is the key result.
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What is the Generative AI Security Scoping Matrix?
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How does data sensitivity impact the scoping matrix classification?
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AWS Certified AI Practitioner AIF-C01
Security, Compliance, and Governance for AI Solutions
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