Courseiva
AI FundamentalsmediumMultiple ChoiceObjective-mapped

AI Associate AI Fundamentals Practice Question

A retail company implements an AI chatbot to recommend products. After launch, they notice the chatbot frequently suggests expensive items to budget-conscious customers. Which AI bias is most likely occurring?

⚠ Common exam trap

Salesforce often tests the distinction between human cognitive biases (like anchoring or confirmation bias) and data-driven biases (like sample bias), so the trap here is that candidates confuse a human reasoning flaw with a machine learning training data issue.

Answer choices

Why each option matters

Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.

Correct answer & explanation

Sample bias (biased training data)

The chatbot's frequent suggestion of expensive items to budget-conscious customers indicates that the training data was biased toward high-cost products, leading the model to learn and replicate that preference. This is a classic case of sample bias (biased training data), where the dataset does not accurately represent the target user population, causing systematic errors in the model's recommendations.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • Confirmation bias

    Why it's wrong here

    Confirmation bias is when the model reinforces a user's own beliefs, not necessarily related to price.

  • Anchoring bias

    Why it's wrong here

    Anchoring bias would cause the model to rely too heavily on the first piece of information, not systematically toward expensive items.

  • Sample bias (biased training data)

    Why this is correct

    If the training data overrepresents high-spending customers, the model may learn to recommend expensive products to all users.

  • Overconfidence bias

    Why it's wrong here

    Overconfidence bias is about the model being too sure of its wrong predictions, but not specifically about price suggestions.

About these practice questions

This AI Associate question is part of Courseiva's 753-question bank — original exam-style content with full explanations and wrong-answer analysis, never real exam questions or exam dumps. Learn why practice questions differ from exam dumps →

How Courseiva writes practice questions · Editorial policy

JA

Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

This AI Associate practice question is part of Courseiva's free Salesforce certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the AI Associate exam.