Question 213 of 506
Ethical Considerations of AIhardMultiple ChoiceObjective-mapped

AI Associate Ethical Considerations of AI Practice Question

This AI Associate practice question tests your understanding of ethical considerations of 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.

A financial services firm deploys Einstein Prediction Builder to predict loan default risk. The model uses sensitive attributes like zip code and age. During testing, the model shows a disparate impact on minority neighborhoods. The compliance team requires explanation of individual predictions for regulatory audits. The data science team wants to use a complex deep learning model that is not interpretable. Which approach best balances performance and ethical responsibility?

Clue words in this question

Noticing these words before you look at the options changes how you read each choice.

  • Clue: "best"

    Why it matters: Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.

Question 1hardmultiple choice
Read the full NAT/PAT explanation →

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

Use a simpler, interpretable model (e.g., logistic regression) that may have slightly lower accuracy but ensures transparency and reduces bias.

Option B is correct because a simpler, interpretable model ensures transparency and reduces bias, aligning with ethical AI principles. Option A is wrong because post-hoc explanations may not be reliable or accepted by regulators. Option C is wrong because adjusting thresholds per group is discriminatory and illegal. Option D is wrong because using the model on a subset does not resolve the underlying bias or compliance requirement.

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.

  • Use the complex model but provide post-hoc explanations like SHAP values to satisfy compliance.

    Why it's wrong here

    Post-hoc explanations may not be reliable or accepted by regulators.

  • Use the complex model but only for a subset of customers to limit exposure.

    Why it's wrong here

    Using the model on a subset does not resolve the underlying bias or compliance requirement.

  • Use the complex model and hide the disparate impact by adjusting thresholds per group.

    Why it's wrong here

    Adjusting thresholds per group is discriminatory and illegal.

  • Use a simpler, interpretable model (e.g., logistic regression) that may have slightly lower accuracy but ensures transparency and reduces bias.

    Why this is correct

    A simpler, interpretable model ensures transparency and reduces bias, aligning with ethical AI principles.

    Clue confirmation

    The clue word "best" in the question point toward this answer.

    Related concept

    OSPF neighbours must agree on key parameters.

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 network engineer at a university connects two campus buildings via a fibre link. Both routers run OSPF, but no adjacency forms — even though both routers can ping each other. The engineer finds one router is in area 0 and the other in area 1. OSPF adjacency requires matching area numbers, hello/dead timers, and network type. IP reachability alone is not enough.

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 AI Associate OSPF questions on adjacency and route selection.

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FAQ

Questions learners often ask

What does this AI Associate question test?

Ethical Considerations of AI — This question tests Ethical Considerations of AI — OSPF neighbours must agree on key parameters..

What is the correct answer to this question?

The correct answer is: Use a simpler, interpretable model (e.g., logistic regression) that may have slightly lower accuracy but ensures transparency and reduces bias. — Option B is correct because a simpler, interpretable model ensures transparency and reduces bias, aligning with ethical AI principles. Option A is wrong because post-hoc explanations may not be reliable or accepted by regulators. Option C is wrong because adjusting thresholds per group is discriminatory and illegal. Option D is wrong because using the model on a subset does not resolve the underlying bias or compliance requirement.

What should I do if I get this AI Associate 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 AI Associate OSPF questions on adjacency and route selection.

Are there clue words in this question I should notice?

Yes — watch for: "best". Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.

What is the key concept behind this question?

OSPF neighbours must agree on key parameters.

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Last reviewed: Jun 23, 2026

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