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AWS Certified Generative AI Developer - Professional14 / 166
Question 14 of 166

A financial services company builds a Bedrock Agent that handles loan pre-qualification. The agent must call three action groups in sequence (credit check, income verification, and eligibility calculation), but developers observe that the agent frequently skips the income verification step and calls the eligibility calculator prematurely with incomplete data. The action group definitions and function schemas are correct, and each Lambda works when invoked directly. Which approach most directly addresses the agent's flawed step selection during orchestration?

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