The correct answer is that both equal opportunity and demographic parity thresholds are violated. This is because the equal opportunity difference of 0.12 exceeds the standard 0.1 threshold, meaning the model’s true positive rates differ unacceptably across groups, while the demographic parity difference of 0.18 also surpasses 0.1, indicating a significant imbalance in selection rates. The disparate impact of 0.85, however, falls within the acceptable range of 0.8 to 1.25, so it is not violated. On the Salesforce AI Associate exam, this question tests your ability to interpret fairness metrics and apply common industry thresholds, often appearing as a scenario where you must distinguish between acceptable and violated metrics. A common trap is assuming any value outside 1.0 is a violation, but disparate impact uses a wider band. To remember: think of equal opportunity and demographic parity as strict 0.1 gates, while disparate impact has a wider 0.8–1.25 corridor.
AI Associate Ethical Considerations of AI Practice Question
This AI Associate practice question tests your understanding of ethical considerations of ai. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. 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.
Refer to the exhibit. The fairness evaluation shows a disparate impact of 0.85, equal opportunity difference of 0.12, and demographic parity difference of 0.18. Which fairness thresholds are violated?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Equal opportunity and demographic parity.
The correct answer is C because the fairness evaluation shows violations of both equal opportunity and demographic parity thresholds. The equal opportunity difference of 0.12 exceeds the commonly accepted threshold of 0.1, and the demographic parity difference of 0.18 exceeds the typical threshold of 0.1. Disparate impact of 0.85 is within the acceptable range (typically 0.8 to 1.25), so it is not violated.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
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 only.
Why it's wrong here
Equal opportunity is also violated.
✗
Equal opportunity only.
Why it's wrong here
Demographic parity is also violated.
✓
Equal opportunity and demographic parity.
Why this is correct
Both exceed their thresholds.
Related concept
Read the scenario before looking for a memorised answer.
✗
Disparate impact only.
Why it's wrong here
Disparate impact is 0.85 >= 0.8, so it passes.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Salesforce often tests the misconception that disparate impact is the only fairness metric that matters, but the trap here is that multiple fairness thresholds can be violated simultaneously, and candidates must check each metric against its specific threshold rather than assuming a single violation.
Detailed technical explanation
How to think about this question
Disparate impact is calculated as the ratio of favorable outcomes for the unprivileged group to the privileged group, with a threshold of 0.8 (the 'four-fifths rule') from the EEOC Uniform Guidelines. Equal opportunity difference measures the difference in true positive rates between groups, while demographic parity difference measures the difference in selection rates; both typically use a 0.1 threshold in practice. In real-world scenarios, a model might pass disparate impact but fail on equal opportunity if it has different false negative rates across groups, which can lead to fairness issues in high-stakes applications like loan approvals or hiring.
KKey Concepts to Remember
Read the scenario before looking for a memorised answer.
Find the constraint that changes the correct option.
Eliminate answers that are true in general but not in this case.
TExam Day Tips
→Watch for words such as best, first, most likely and least administrative effort.
→Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
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
Got this wrong? Here's your next step.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Ethical Considerations of AI — This question tests Ethical Considerations of AI — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Equal opportunity and demographic parity. — The correct answer is C because the fairness evaluation shows violations of both equal opportunity and demographic parity thresholds. The equal opportunity difference of 0.12 exceeds the commonly accepted threshold of 0.1, and the demographic parity difference of 0.18 exceeds the typical threshold of 0.1. Disparate impact of 0.85 is within the acceptable range (typically 0.8 to 1.25), so it is not violated.
What should I do if I get this AI Associate question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.
Variation 1. Refer to the exhibit. What does the "Status: FAIL" indicate?
medium
A.The model's overall accuracy is low.
B.The data is missing age_group information.
C.The model is not allowed for deployment.
✓ D.The model shows a significant disparity in true positive rates across age groups.
Why D: Option B is correct because equal opportunity difference measures disparity in true positive rates across groups; a result exceeding threshold indicates significant disparity. Option A is wrong the exhibit doesn't state deployment restriction. Option C is wrong overall accuracy is not measured here. Option D is wrong the data includes age_group.
Last reviewed: Jun 30, 2026
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