AI Associate Ethical AI and Data Privacy Practice Question
A company wants to use AI to automatically qualify leads without human intervention. However, they are concerned about potential bias in the model. Which Salesforce approach can help them detect and mitigate bias in their lead scoring model?
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
✓
Einstein Trust Layer bias detection
Einstein Trust Layer includes audit trails and bias detection capabilities. Additionally, Einstein Discovery can be used to audit models for bias. The specific tool for bias detection is the Einstein Trust Layer's bias detection feature.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Einstein Activity Capture
Why it's wrong here
Activity Capture does not include bias detection.
- ✗
Einstein Automate
Why it's wrong here
Automate handles workflows, not bias detection.
- ✓
Einstein Trust Layer bias detection
Why this is correct
The Einstein Trust Layer provides tools to detect and mitigate bias in AI models.
- ✗
Einstein Bots
Why it's wrong here
Bots are for conversational AI, not bias detection.
Go deeper
Related to this question
About these practice questions
One of 753 original AI Associate practice questions on Courseiva, each with a full explanation and wrong-answer analysis — not exam dumps or protected exam content. Learn why practice questions differ from exam dumps →
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.