Question 603 of 1,000
AI Governance and EthicseasyMultiple ChoiceObjective-mapped

AI0-001 AI Governance and Ethics Practice Question

This AI0-001 practice question tests your understanding of ai governance and ethics. 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.

A healthcare AI system uses patient data to predict disease risk. To comply with HIPAA, which privacy technique should be applied to the training data?

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

De-identification (Safe Harbor method)

The Safe Harbor method of de-identification, as defined by the HIPAA Privacy Rule, removes 18 specific identifiers (e.g., names, dates, geographic subdivisions smaller than a state) from the training data. This ensures the data no longer qualifies as Protected Health Information (PHI), allowing it to be used for AI model training without violating HIPAA. Unlike other techniques, Safe Harbor provides a clear, legally safe harbor from privacy breach notification requirements when properly applied.

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.

  • Differential privacy

    Why it's wrong here

    Differential privacy is a mathematical privacy guarantee but not a HIPAA-specific requirement.

  • Anonymisation

    Why it's wrong here

    Anonymisation is broader; HIPAA's Safe Harbor specifically uses de-identification.

  • De-identification (Safe Harbor method)

    Why this is correct

    HIPAA's Safe Harbor method removes 18 identifiers, meeting the de-identification standard.

    Related concept

    Read the scenario before looking for a memorised answer.

  • Pseudonymisation

    Why it's wrong here

    Pseudonymisation is reversible and does not fully comply with HIPAA's de-identification standard.

Common exam traps

Common exam trap: answer the scenario, not the keyword

Cisco often tests the distinction between de-identification (Safe Harbor) and pseudonymisation, trapping candidates who think pseudonymisation alone satisfies HIPAA because it obscures direct identifiers, when in fact pseudonymised data remains PHI and requires the same privacy protections.

Detailed technical explanation

How to think about this question

Under the hood, the Safe Harbor method requires a covered entity to strip 18 specific identifiers, including direct identifiers (e.g., SSN, medical record numbers) and indirect identifiers (e.g., dates of service, ages over 89). A subtle behavior is that even after Safe Harbor de-identification, the data may still be re-identifiable through linkage attacks, but HIPAA does not require a risk assessment for this method—only the Expert Determination method does. In real-world AI deployments, many healthcare organizations mistakenly apply Safe Harbor but fail to remove all 18 identifiers, such as device identifiers or biometric templates, leading to compliance gaps.

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 AI0-001 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.

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FAQ

Questions learners often ask

What does this AI0-001 question test?

AI Governance and Ethics — This question tests AI Governance and Ethics — Read the scenario before looking for a memorised answer..

What is the correct answer to this question?

The correct answer is: De-identification (Safe Harbor method) — The Safe Harbor method of de-identification, as defined by the HIPAA Privacy Rule, removes 18 specific identifiers (e.g., names, dates, geographic subdivisions smaller than a state) from the training data. This ensures the data no longer qualifies as Protected Health Information (PHI), allowing it to be used for AI model training without violating HIPAA. Unlike other techniques, Safe Harbor provides a clear, legally safe harbor from privacy breach notification requirements when properly applied.

What should I do if I get this AI0-001 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.

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Last reviewed: Jul 4, 2026

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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.