Free AWS AIF-C01 Certified AI Practitioner Actual Exam Questions - Question 9 Discussion

Question No. 9
A company is building a chatbot to improve user experience. The company is using a large language
model (LLM) from Amazon Bedrock for intent detection. The company wants to use few-shot
learning to improve intent detection accuracy.
Which additional data does the company need to meet these requirements?
Select one option, then reveal solution.
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Omar V.
2026-02-10

C/D? Since the goal is intent detection, you'd want user messages paired with their correct intents (C). D seems less relevant because intents leading to responses don’t directly train detection. So C feels more direct.

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Imran I.
2026-01-18

C/D? Since the goal is intent detection, pairing user messages with intents (C) seems crucial, but having intents linked to responses (D) might help guide the model on expected outcomes too.

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Imran I.
2026-01-16

C. Few-shot learning for intent detection needs examples of user messages paired with their correct intents. That’s the data the model looks at to understand how to classify new user inputs accurately. The other options mix up responses and intents, which won’t help train the model on recognizing intents properly. Seems pretty straightforward to me.

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