Question 703 of 1,000
AI SecurityhardMultiple SelectObjective-mapped

AI0-001 AI Security Practice Question

This AI0-001 practice question tests your understanding of ai security. 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 company is developing an AI-powered recruitment tool. To prevent bias and ensure fairness, they want to audit the model's training data and outputs. Which TWO practices should they implement as part of secure AI development?

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

Threat modeling using STRIDE for AI-specific threats

Threat modeling for AI systems helps identify bias-related threats, and access controls on training data prevent unauthorized modifications that could introduce bias. Both are part of secure AI development practices.

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.

  • Enabling model parallelism

    Why it's wrong here

    Model parallelism is a performance optimization, not a security or fairness control.

  • Threat modeling using STRIDE for AI-specific threats

    Why this is correct

    STRIDE can be applied to identify threats like tampering with training data leading to bias.

    Related concept

    Read the scenario before looking for a memorised answer.

  • Increasing the model's learning rate

    Why it's wrong here

    Learning rate affects convergence but does not address bias or security.

  • Implementing access controls on the training dataset

    Why this is correct

    Access controls ensure only authorized personnel can alter training data, reducing bias injection.

    Related concept

    Read the scenario before looking for a memorised answer.

  • Using a larger batch size

    Why it's wrong here

    Batch size is a training hyperparameter, not a security practice.

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 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 AI0-001 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 AI0-001 question test?

AI Security — This question tests AI Security — Read the scenario before looking for a memorised answer..

What is the correct answer to this question?

The correct answer is: Threat modeling using STRIDE for AI-specific threats — Threat modeling for AI systems helps identify bias-related threats, and access controls on training data prevent unauthorized modifications that could introduce bias. Both are part of secure AI development practices.

What should I do if I get this AI0-001 question wrong?

Identify which AI0-001 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.

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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.