- A
Demographic parity
Demographic parity measures whether the proportion of positive outcomes is the same across groups, directly addressing the requirement.
- B
Disparate impact ratio
Why wrong: Disparate impact is the ratio of positive outcomes between groups, often compared to the 80% rule, but the question asks about equal proportions, not a ratio threshold.
- C
Equalized odds
Why wrong: Equalized odds requires that the model has equal true positive and false positive rates across groups, not equal overall outcome proportions.
- D
SHAP values
Why wrong: SHAP values measure feature importance for individual predictions, not group-level fairness metrics.
Question 355 of 1,000
mediumMultiple ChoiceObjective-mapped
AIF-C01 Practice Question: An insurance company is using a machine learning…
This AIF-C01 practice question tests your understanding of aif-c01 exam topics. 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.
An insurance company is using a machine learning model to approve claims. They want to ensure that the model's approval rate is similar across different demographic groups. Which fairness metric would directly measure whether the proportion of positive outcomes is equal across groups?
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
✓
Demographic parity
Demographic parity, also known as statistical parity, requires that the probability of a positive outcome is the same for all groups. Equalized odds focuses on equal true positive and false positive rates, disparate impact measures the ratio of positive outcomes, but demographic parity directly compares proportions.
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
Why this is correct
Demographic parity measures whether the proportion of positive outcomes is the same across groups, directly addressing the requirement.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Disparate impact ratio
Why it's wrong here
Disparate impact is the ratio of positive outcomes between groups, often compared to the 80% rule, but the question asks about equal proportions, not a ratio threshold.
- ✗
Equalized odds
Why it's wrong here
Equalized odds requires that the model has equal true positive and false positive rates across groups, not equal overall outcome proportions.
- ✗
SHAP values
Why it's wrong here
SHAP values measure feature importance for individual predictions, not group-level fairness metrics.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.
Detailed technical explanation
How to think about this question
This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.
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.
- Use explanations to understand the rule behind the answer.
TExam Day Tips
- Underline the problem statement mentally.
- 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 cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
Quick reference
RAID Level Comparison
| RAID Level | Min Disks | Fault Tolerance | Read | Write | Usable Capacity |
|---|---|---|---|---|---|
| RAID 0 | 2 | None | Excellent | Excellent | 100% |
| RAID 1 | 2 | 1 disk | Good | Moderate | 50% |
| RAID 5 | 3 | 1 disk | Good | Moderate | 67–94% |
| RAID 6 | 4 | 2 disks | Good | Lower | 50–88% |
| RAID 10 | 4 | 1 disk per mirror | Excellent | Good | 50% |
RAID is not a backup strategy — it protects against disk failure but not against accidental deletion, ransomware, or site-level events.
What to study next
Got this wrong? Here's your next step.
Identify which AIF-C01 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
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FAQ
Questions learners often ask
What does this AIF-C01 question test?
Read the scenario before looking for a memorised answer.
What is the correct answer to this question?
The correct answer is: Demographic parity — Demographic parity, also known as statistical parity, requires that the probability of a positive outcome is the same for all groups. Equalized odds focuses on equal true positive and false positive rates, disparate impact measures the ratio of positive outcomes, but demographic parity directly compares proportions.
What should I do if I get this AIF-C01 question wrong?
Identify which AIF-C01 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
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 →
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Last reviewed: Jul 4, 2026
This AIF-C01 practice question is part of Courseiva's free Amazon Web Services 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 AIF-C01 exam.
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