- A
SHAP (SHapley Additive exPlanations)
SHAP can compute global feature importance by averaging absolute Shapley values across all instances, providing a unified measure of feature impact.
- B
Partial dependence plots
Why wrong: 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.
- C
LIME (Local Interpretable Model-agnostic Explanations)
Why wrong: LIME explains individual predictions locally, not globally across the whole dataset.
- D
Permutation feature importance
Why wrong: 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.
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.
Related practice questions
Related AIF-C01 practice-question pages
Use these pages to review the topic behind this question. This is how one missed question becomes focused revision.
Applications of Foundation Models practice questions
Practise AIF-C01 questions linked to Applications of Foundation Models.
AI and ML Fundamentals practice questions
Practise AIF-C01 questions linked to AI and ML Fundamentals.
Security, Compliance, and Governance for AI Solutions practice questions
Practise AIF-C01 questions linked to Security, Compliance, and Governance for AI Solutions.
Fundamentals of AI and ML practice questions
Practise AIF-C01 questions linked to Fundamentals of AI and ML.
Fundamentals of Generative AI practice questions
Practise AIF-C01 questions linked to Fundamentals of Generative AI.
Generative AI and Foundation Models practice questions
Practise AIF-C01 questions linked to Generative AI and Foundation Models.
Guidelines for Responsible AI practice questions
Practise AIF-C01 questions linked to Guidelines for Responsible AI.
Security, Compliance and Governance for AI Solutions practice questions
Practise AIF-C01 questions linked to Security, Compliance and Governance for AI Solutions.
AIF-C01 fundamentals practice questions
Practise AIF-C01 questions linked to AIF-C01 fundamentals.
AIF-C01 scenario practice questions
Practise AIF-C01 questions linked to AIF-C01 scenario.
AIF-C01 troubleshooting practice questions
Practise AIF-C01 questions linked to AIF-C01 troubleshooting.
Practice this exam
Start a free AIF-C01 practice session
Short sessions build daily habit. Longer sessions build exam-day stamina. Try a timed session to simulate real conditions.
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.
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 →
Keep practising
More AIF-C01 practice questions
- A data scientist is fine-tuning a foundation model on Amazon Bedrock for a custom summarization task. Which THREE practi…
- A company uses a foundation model for real-time translation in a chat application. The latency is high. Which optimizati…
- A developer is using the Amazon Bedrock API to generate text. They notice that the model sometimes returns harmful conte…
- Refer to the exhibit. A user invokes Claude v2 using the AWS CLI. The response is truncated. What is the most likely cau…
- A company wants to automatically detect anomalies in server metrics. Which algorithm is most appropriate?
- A company uses Amazon SageMaker to train a model. The training job fails with 'InsufficientInstanceCapacity' error. What…
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.
Question Discussion
Share a tip, memory trick, or ask about the reasoning behind this question. Do not post real exam questions, leaked content, braindumps, or copyrighted exam material. Comments are moderated and may be removed without notice.
Sign in to join the discussion.