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 shoe retailer's shopping assistant should remember that a returning customer prefers a certain brand and size, even when the customer comes back weeks later in a new chat.
The team wants only the key facts kept, not every message.
Which agent capability provides this?
Choose one answer.
AA. A higher temperature so the agent gives more varied, creative replies.
BB. A much larger context window, so the current conversation can be longer.
CC. Loading the customer's full past chat transcripts into every new prompt, with no summary.
DD. Long-term memory that stores key facts, such as preferences, across sessions.
Show the answer and explanation
Answer: D
A. Wrong: Temperature changes how random each reply is. It does not store anything about a customer between chats.
B. Wrong: A larger context window holds more text within one conversation. It is lost when the session ends, so it cannot recall preferences weeks later.
C. Wrong: Full transcripts can carry facts across sessions, but they fill the prompt and cost more on every call. The team wants only the key facts kept, not every message.
D. Right: Correct. Long-term memory extracts important facts and preferences from conversations and keeps them across sessions. The assistant can then recall the brand and size in a later chat. Learn more: Amazon Bedrock AgentCore Memory (opens in a new tab)
Explanation
Keeping facts across sessions requires memory that lives outside a single conversation. Long-term memory stores key facts such as preferences, while short-term memory covers only the current session. Temperature and context window size do not store anything between chats. This question tests distinguishing memory across sessions from other settings.
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