Question 47 of 506
Ethical Considerations of AIeasyMultiple SelectObjective-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.

Which TWO actions help ensure transparency in AI systems according to Salesforce's ethical AI guidelines?

Question 1easymulti select
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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

Documenting model assumptions and limitations.

Option D is correct because documenting model assumptions and limitations is a core transparency practice under Salesforce's ethical AI guidelines. It ensures stakeholders understand the boundaries and potential biases of the AI system, enabling informed trust and accountability.

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.

  • Limiting access to model outputs to only a few people.

    Why it's wrong here

    Limiting access reduces transparency.

  • Using complex deep learning models without explanation.

    Why it's wrong here

    Lack of explanation reduces transparency.

  • Automatically retraining models weekly.

    Why it's wrong here

    Retraining does not directly relate to transparency.

  • Documenting model assumptions and limitations.

    Why this is correct

    Documentation is a transparency best practice.

    Related concept

    Read the scenario before looking for a memorised answer.

  • Providing plain-language explanations of model predictions.

    Why this is correct

    Explanations enhance transparency.

    Related concept

    Read the scenario before looking for a memorised answer.

Common exam traps

Common exam trap: answer the scenario, not the keyword

Salesforce often tests the distinction between operational actions (like retraining) and ethical governance actions (like documentation), leading candidates to mistakenly select technically beneficial but ethically irrelevant options.

Detailed technical explanation

How to think about this question

Transparency in AI involves both interpretability (understanding how a model arrives at a decision) and documentation (recording design choices, training data, and known limitations). In practice, this means maintaining a model card or datasheet that details the model's intended use, performance metrics, and failure modes, which is critical for regulatory compliance and stakeholder trust in high-stakes domains like healthcare or finance.

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.

TExam Day Tips

  • 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 small business has 20 workstations on the 192.168.1.0/24 network and one public IP from its ISP. The router uses PAT (NAT overload) so all 20 devices share one public address using different source ports. NAT questions test whether you understand the four address terms and which direction each translation applies.

What to study next

Got this wrong? Here's your next step.

Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.

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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 — Read the scenario before looking for a memorised answer..

What is the correct answer to this question?

The correct answer is: Documenting model assumptions and limitations. — Option D is correct because documenting model assumptions and limitations is a core transparency practice under Salesforce's ethical AI guidelines. It ensures stakeholders understand the boundaries and potential biases of the AI system, enabling informed trust and accountability.

What should I do if I get this AI Associate question wrong?

Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.

What is the key concept behind this question?

Read the scenario before looking for a memorised answer.

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Last reviewed: Jun 30, 2026

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This AI Associate practice question is part of Courseiva's free Salesforce 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 AI Associate exam.