Quick Answer
The correct answer is equal opportunity, as it is the fairness metric not enabled in the provided JSON policy. The policy explicitly configures checks for demographic parity, disparate impact, and equalized odds, but equal opportunity—which requires equal true positive rates across demographic groups—is a separate metric that must be independently specified and is absent here. On the Salesforce AI Associate exam, this question tests your ability to read a JSON fairness policy and distinguish between closely related metrics, a common trap being confusion between equalized odds and equal opportunity. Remember that equalized odds balances both false positive and true positive rates, while equal opportunity focuses solely on true positive rates. A helpful memory tip: think of equal opportunity as “only the good stuff”—it cares only about ensuring each group gets the same chance at a positive outcome, ignoring false positives entirely.
This AI Associate practice question tests your understanding of ethical considerations of ai. This is a configuration task: choose the command set that satisfies every stated requirement. Small differences — like 'secret' vs 'password' or 'transport input ssh' vs 'all' — change whether the answer is correct. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
{
"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?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue: "NOT"
Why it matters: Negative qualifier — you are looking for the one option that does NOT apply. Most options will be true; only one is false for this scenario.
{
"fairness_checks": {
"demographic_parity": true,
"equal_opportunity": false,
"disparate_impact": true
},
"threshold": 0.8
}Demographic parity
Why wrong: It is set to true.
All are enabled
Why wrong: Equal opportunity is not enabled.
Disparate impact
Why wrong: It is set to true.
Equal opportunity
Correct. The 'equal_opportunity' field is false.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Equal opportunity
Option D (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.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
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.
Clue confirmation
The clue word "NOT" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
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.
Detailed technical explanation
In AI fairness frameworks like IBM AI Fairness 360 or Google's What-If Tool, each metric measures a different aspect of bias: demographic parity checks for equal positive prediction rates across groups, disparate impact measures the ratio of favorable outcomes, and equalized odds requires equal true positive and false positive rates. Equal opportunity is a stricter subset of equalized odds that only requires equal true positive rates, and must be separately configured in the policy JSON.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
A practitioner preparing for the AI Associate exam encounters this exact type of scenario on the job. The correct answer here is not the most general option — it is the best answer for the specific constraint described. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Real exam questions reward reading the full scenario before eliminating options, because the constraint defines which answer fits.
What to study next
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
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FAQ
Ethical Considerations of AI — This question tests Ethical Considerations of AI — Read the scenario before looking for a memorised answer..
The correct answer is: Equal opportunity — Option D (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.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Yes — watch for: "NOT". Negative qualifier — you are looking for the one option that does NOT apply. Most options will be true; only one is false for this scenario.
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 30, 2026
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.
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