Question 182 of 1,000
Ethical AI and Data PrivacymediumMultiple SelectObjective-mapped

AI Associate Ethical AI and Data Privacy Practice Question

This AI Associate practice question tests your understanding of ethical ai and data privacy. 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 company uses Einstein Bots to handle customer inquiries. To comply with GDPR's right to explanation for automated decisions affecting customers, which TWO capabilities must the bot implementation include?

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

Provide a mechanism for customers to request an explanation of the bot's decision

Right to explanation requires that customers can get reasons for automated decisions. Logging the factors and providing a way for customers to request explanations are key. Using consent management and data retention are important but not specifically for explanation.

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.

  • Collect explicit consent from customers before using the bot

    Why it's wrong here

    Consent is a separate GDPR requirement, not the right to explanation.

  • Use a pre-trained model with high accuracy on industry benchmarks

    Why it's wrong here

    Accuracy does not address explainability.

  • Provide a mechanism for customers to request an explanation of the bot's decision

    Why this is correct

    This directly fulfills the right to explanation.

    Related concept

    Read the scenario before looking for a memorised answer.

  • Retain customer data for at least 30 days after the interaction

    Why it's wrong here

    Retention is a data lifecycle issue, not about explanation.

  • Log the factors that influenced the bot's decision for each interaction

    Why this is correct

    Logging factors enables the company to provide explanations later.

    Related concept

    Read the scenario before looking for a memorised answer.

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.

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 practitioner preparing for the AI Associate exam encounters this exact type of scenario on the job. The correct answer here is not the most general option — it is the best answer for the specific constraint described. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Real exam questions reward reading the full scenario before eliminating options, because the constraint defines which answer fits.

What to study next

Got this wrong? Here's your next step.

Identify which AI Associate 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.

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FAQ

Questions learners often ask

What does this AI Associate question test?

Ethical AI and Data Privacy — This question tests Ethical AI and Data Privacy — Read the scenario before looking for a memorised answer..

What is the correct answer to this question?

The correct answer is: Provide a mechanism for customers to request an explanation of the bot's decision — Right to explanation requires that customers can get reasons for automated decisions. Logging the factors and providing a way for customers to request explanations are key. Using consent management and data retention are important but not specifically for explanation.

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

Identify which AI Associate 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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Last reviewed: Jul 4, 2026

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