AI Associate Ethical Considerations of AI Practice Question
Exhibit
{
"fairness_checks": {
"demographic_parity": true,
"equal_opportunity": false,
"disparate_impact": true
},
"threshold": 0.8
}Refer to the exhibit. Based on the JSON policy for AI fairness checks, which fairness metric is NOT enabled?
⚠ Common exam trap
Salesforce often tests the distinction between equalized odds and equal opportunity, trapping candidates who assume equalized odds automatically includes equal opportunity, when in fact they are separate metrics with different mathematical definitions.
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
✓
Equal opportunity
(Equal opportunity) is correct because the JSON policy shown in the exhibit configures fairness checks for demographic parity, disparate impact, and equalized odds, but does NOT include the equal opportunity metric. Equal opportunity requires equal true positive rates across groups, which is a separate metric from equalized odds and must be explicitly enabled in the policy definition.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Demographic parity
Why it's wrong here
It is set to true.
- ✗
All are enabled
Why it's wrong here
Equal opportunity is not enabled.
- ✗
Disparate impact
Why it's wrong here
It is set to true.
- ✓
Equal opportunity
Why this is correct
Correct. The 'equal_opportunity' field is false.
Quick reference
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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.