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AIF-C01 Practice Question: Developing an AI system that screens job…

This AIF-C01 practice question tests your understanding of developing an ai system that screens job…. Examine the command output carefully: the correct answer depends on what the output actually shows, not on general recall alone. 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 system that screens job applications. To comply with regulatory requirements, they need to provide explanations for each automated decision. Which explainability technique provides global feature importance across the entire dataset?

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

SHAP (SHapley Additive exPlanations)

SHAP provides both local and global feature importance values based on game theory. It can show the overall impact of each feature across all predictions.

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.

  • SHAP (SHapley Additive exPlanations)

    Why this is correct

    SHAP can compute global feature importance by averaging absolute Shapley values across all instances, providing a unified measure of feature impact.

    Related concept

    Read the scenario before looking for a memorised answer.

  • Partial dependence plots

    Why it's wrong here

    Partial dependence plots show the marginal effect of a feature on the predicted outcome, but they are not a single measure of global feature importance.

  • LIME (Local Interpretable Model-agnostic Explanations)

    Why it's wrong here

    LIME explains individual predictions locally, not globally across the whole dataset.

  • Permutation feature importance

    Why it's wrong here

    Permutation importance measures the drop in model performance when a feature is shuffled, but it is less stable and does not provide the theoretical guarantees of SHAP.

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.

Trap categories for this question

  • Command / output trap

    Partial dependence plots show the marginal effect of a feature on the predicted outcome, but they are not a single measure of global feature importance.

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.

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: SHAP (SHapley Additive exPlanations) — SHAP provides both local and global feature importance values based on game theory. It can show the overall impact of each feature across all predictions.

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.

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Last reviewed: Jul 4, 2026

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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.