The answer is LIME and SHAP. These two techniques are specifically designed for local interpretability, meaning they explain why a machine learning model made a single, individual prediction by approximating its behavior around that specific input, unlike global methods which describe the model’s overall logic. On the AWS Certified AI Practitioner AIF-C01 exam, this distinction is a frequent trap: you must remember that permutation importance and partial dependence plots explain the model’s behavior across all data (global), while LIME and SHAP focus on per-prediction reasoning. A common memory tip is to think of “Local” as “LIME” and “SHAP” both starting with letters that appear in “local”—L and S—and to contrast them with global methods that summarize the entire forest, not just one tree.
AIF-C01 Guidelines for Responsible AI Practice Question
This AIF-C01 practice question tests your understanding of guidelines for responsible ai. 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.
Which TWO techniques provide interpretability for machine learning models at a local (per-prediction) level? (Choose two.)
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
SHAP values
Options A and C are correct. LIME and SHAP are local interpretability methods. Option B (Permutation importance) is global. Option D (Partial dependence) is global. Option E (Confusion matrix) is a performance metric, not interpretability.
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 values
Why this is correct
SHAP provides local explanations based on Shapley values.
Related concept
Read the scenario before looking for a memorised answer.
✗
Partial dependence plots
Why it's wrong here
Partial dependence plots show average marginal effect, not per-prediction.
✗
Confusion matrix
Why it's wrong here
Confusion matrix summarizes classification performance, not interpretability.
✓
LIME
Why this is correct
LIME explains individual predictions by fitting a local surrogate model.
Related concept
Read the scenario before looking for a memorised answer.
✗
Permutation feature importance
Why it's wrong here
Permutation importance measures global feature importance across all predictions.
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
Similar concept trap
Confusion matrix summarizes classification performance, not interpretability.
Command / output trap
Partial dependence plots show average marginal effect, not per-prediction.
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.
Guidelines for Responsible AI — This question tests Guidelines for Responsible AI — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: SHAP values — Options A and C are correct. LIME and SHAP are local interpretability methods. Option B (Permutation importance) is global. Option D (Partial dependence) is global. Option E (Confusion matrix) is a performance metric, not interpretability.
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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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
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