Fundamentals of Generative AI A free question from our original AIF-C01 practice exam. Try it, then open the answer to see why each option is right or wrong.
A bank wants one assistant for mortgage questions, card disputes and general account queries.
Each area uses different tools, and only its own team may access that area's data. The architects want a specialist agent for each area, with one component that decides which specialist takes each request and combines the answers into one reply.
Which design pattern is this?
Choose one answer.
AA. A batch inference job that processes all customer requests overnight and writes results to storage.
BB. A single agent with one very long system prompt covering every area, tool and set of data permissions.
CC. A supervisor agent that routes requests to specialist collaborator agents and combines their results.
DD. Separate chatbots for each area, with the customer choosing which bot to open and no shared answer.
Show the answer and explanation
Answer: C
A. Wrong: Batch inference runs offline over stored data and gives no live reply. It cannot route a customer's question to a specialist in real time.
B. Wrong: One agent with every tool and every rule mixes the areas together and breaks the per-team data limits. The prompt grows hard to manage as areas are added.
D. Wrong: Separate chatbots meet the specialist and access rules, but they lose the single assistant the bank wants. The customer would have to pick the right bot, and no component combines the answers.
Explanation
A supervisor and collaborator pattern splits one assistant into specialists, each with its own tools and data permissions, and a supervisor that routes requests and combines results. Bedrock's multi-agent collaboration implements this, with the supervisor planning and routing work to collaborators. This question tests recognizing the pattern from the stated roles and constraints.
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