nerdexam
Amazon

AIF-C01 · Question #52

A company is building a customer service chatbot. The company wants the chatbot to improve its responses by learning from past interactions and online resources. Which AI learning strategy provides…

The correct answer is B. Reinforcement learning with rewards for positive customer feedback. Reinforcement learning allows a model to learn and improve over time based on feedback from its environment. In this case, the chatbot can improve its responses by being rewarded for positive customer feedback, which aligns well with the goal of self-improvement based on past…

Submitted by helene.fr· Mar 30, 2026

Question

A company is building a customer service chatbot. The company wants the chatbot to improve its responses by learning from past interactions and online resources. Which AI learning strategy provides this self-improvement capability?

Options

  • ASupervised learning with a manually curated dataset of good responses and bad responses
  • BReinforcement learning with rewards for positive customer feedback
  • CUnsupervised learning to find clusters of similar customer inquiries
  • DSupervised learning with a continuously updated FAQ database

How the community answered

(58 responses)
  • A
    2% (1)
  • B
    86% (50)
  • C
    3% (2)
  • D
    9% (5)

Explanation

Reinforcement learning allows a model to learn and improve over time based on feedback from its environment. In this case, the chatbot can improve its responses by being rewarded for positive customer feedback, which aligns well with the goal of self-improvement based on past interactions and new information.

Topics

#AI learning strategies#Reinforcement learning#Chatbot AI

Community Discussion

No community discussion yet for this question.

Full AIF-C01 Practice