AIF-C01 Guidelines for Responsible AI Practice Question
This AIF-C01 practice question tests your understanding of guidelines for responsible ai. The scenario asks you to isolate a root cause — eliminate options that address a different problem before choosing. 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 hospital uses an AI system to prioritize patients for organ transplant based on predicted survival rates. The system was trained on historical data that includes socioeconomic factors. A review reveals that the system systematically assigns lower priority to patients from lower-income neighborhoods, even when medical urgency is similar. The hospital's ethics board demands an immediate remedy. The data science team is small and must act quickly. What should the hospital do to address this fairness issue most effectively?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Retrain the model with only medically relevant features, after removing socioeconomic factors and correlated proxies
The best course is to retrain the model using only medically relevant features, removing socioeconomic factors and correlated proxies. This directly addresses the source of bias. Adding a penalty for low-income patients is artificial and may not reflect medical reality. Relying solely on human review delays the issue and introduces potential inconsistency. Using a different model without data changes may not eliminate bias.
Key principle: OSPF neighbour adjacency depends on matching area, hello/dead timers, network type, and authentication — IP reachability alone is not enough.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
✗
Discontinue the AI system and have all prioritization done by a human committee
Why it's wrong here
Removing AI is a drastic step that reduces efficiency and may still have human bias.
✓
Retrain the model with only medically relevant features, after removing socioeconomic factors and correlated proxies
Why this is correct
Removing biased features addresses the root cause.
Apply a re-weighting penalty to boost priority for low-income patients
Why it's wrong here
Artificial re-weighting may not be justified medically and could cause new biases.
✗
Use a different model type, such as a random forest instead of gradient boosting, on the same data
Why it's wrong here
Simply changing model type on biased data will not fix the bias.
Common exam traps
Common exam trap: OSPF can fail even when IP connectivity looks correct
OSPF neighbour formation depends on matching areas, timers, network type, authentication and passive-interface behaviour. Do not choose an answer only because the devices can ping.
Detailed technical explanation
How to think about this question
OSPF questions usually test the details that control adjacency and route selection. Read the neighbour state, area, router ID and interface configuration before deciding what is wrong.
KKey Concepts to Remember
OSPF neighbours must agree on key parameters.
Router ID selection can affect neighbour relationships and LSDB output.
OSPF cost influences the preferred path.
A route can appear in OSPF information but not become the installed route.
TExam Day Tips
→Check area mismatch first when OSPF adjacency fails.
→Review passive interfaces when a network is advertised but no neighbour forms.
→Use show ip ospf neighbor and show ip route clues carefully.
Key takeaway
OSPF neighbour adjacency depends on matching area, hello/dead timers, network type, and authentication — IP reachability alone is not enough.
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. OSPF neighbour adjacency depends on matching area, hello/dead timers, network type, and authentication — IP reachability alone is not enough. 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.
Review OSPF neighbour requirements — matching area type, hello and dead timers, network type, stub flags, and authentication. Study show ip ospf neighbor states (INIT, 2-WAY, FULL). Then practise related AIF-C01 OSPF questions on adjacency and route selection.
Guidelines for Responsible AI — This question tests Guidelines for Responsible AI — OSPF neighbours must agree on key parameters..
What is the correct answer to this question?
The correct answer is: Retrain the model with only medically relevant features, after removing socioeconomic factors and correlated proxies — The best course is to retrain the model using only medically relevant features, removing socioeconomic factors and correlated proxies. This directly addresses the source of bias. Adding a penalty for low-income patients is artificial and may not reflect medical reality. Relying solely on human review delays the issue and introduces potential inconsistency. Using a different model without data changes may not eliminate bias.
What should I do if I get this AIF-C01 question wrong?
Review OSPF neighbour requirements — matching area type, hello and dead timers, network type, stub flags, and authentication. Study show ip ospf neighbor states (INIT, 2-WAY, FULL). Then practise related AIF-C01 OSPF questions on adjacency and route selection.
What is the key concept behind this question?
OSPF neighbours must agree on key parameters.
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 →
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.
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.