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AI Concepts and FoundationsmediumMultiple ChoiceObjective-mapped

AI0-001 AI Concepts and Foundations Practice Question

Exhibit

{
  "fairness_metric": "demographic_parity",
  "threshold": 0.1,
  "protected_attributes": ["race", "gender"]
}

Refer to the exhibit. An AI auditor reviews the fairness configuration. What is the purpose of this policy?

⚠ Common exam trap

CompTIA often tests the distinction between demographic parity (equal positive prediction rates) and equalized odds (equal error rates), so candidates mistakenly choose 'equal error rates' when they see a fairness policy that actually enforces demographic parity.

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

Ensure equal positive prediction rates across groups

The policy sets a fairness constraint that requires the model's positive prediction rate (the fraction of instances predicted as the positive class) to be equal across all defined groups. This is a standard demographic parity requirement, which is implemented by adjusting the decision threshold or reweighting training data to ensure that each group receives the same proportion of positive predictions, regardless of the actual outcome distribution.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • Ensure equal error rates across groups

    Why it's wrong here

    Incorrect; equal error rates refer to equality of opportunity, not demographic parity.

  • Ensure equal positive prediction rates across groups

    Why this is correct

    Correct; demographic parity aims for similar selection rates.

  • Ensure equal accuracy across groups

    Why it's wrong here

    Incorrect; demographic parity focuses on prediction rates, not accuracy.

  • Ensure model interpretability

    Why it's wrong here

    Incorrect; interpretability is about understanding model decisions, not fairness metric.

Quick reference

RAID Level Comparison

RAID LevelMin DisksFault ToleranceReadWriteUsable Capacity
RAID 02NoneExcellentExcellent100%
RAID 121 diskGoodModerate50%
RAID 531 diskGoodModerate67–94%
RAID 642 disksGoodLower50–88%
RAID 1041 disk per mirrorExcellentGood50%

RAID is not a backup strategy — it protects against disk failure but not against accidental deletion, ransomware, or site-level events.

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Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

This AI0-001 practice question is part of Courseiva's free CompTIA 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 AI0-001 exam.