- A
Use a separate AI model to review the first model's outputs and flag issues
Why wrong: AI reviewing AI does not constitute human oversight.
- B
AI generates recommendations, but a human advisor must review and approve before any action, and can override the AI
This ensures human oversight with override capability, meeting regulatory expectations.
- C
AI provides advice directly to the customer with a disclaimer that it is not financial advice
Why wrong: Disclaimers alone do not satisfy human review requirements for high-stakes decisions.
- D
Allow the AI to execute trades automatically, with an audit log for later review
Why wrong: Post-hoc review is insufficient for high-stakes decisions; human must review before action.
Question 536 of 997
Generative AI Leader Responsible AI and Data Governance Practice Question
This Generative AI Leader practice question tests your understanding of responsible ai and data governance. 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 institution is deploying a generative AI chatbot to provide investment advice. According to regulatory requirements, high-stakes AI decisions must have human review. Which setup BEST satisfies this requirement?
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
✓
AI generates recommendations, but a human advisor must review and approve before any action, and can override the AI
Option B is correct because it directly implements the regulatory requirement for human-in-the-loop (HITL) oversight in high-stakes AI decisions. In financial advisory contexts, regulations like the EU AI Act or SEC guidelines mandate that a qualified human advisor must review and approve AI-generated recommendations before any action is taken, ensuring accountability and the ability to override erroneous outputs.
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.
- ✗
Use a separate AI model to review the first model's outputs and flag issues
Why it's wrong here
AI reviewing AI does not constitute human oversight.
- ✓
AI generates recommendations, but a human advisor must review and approve before any action, and can override the AI
Why this is correct
This ensures human oversight with override capability, meeting regulatory expectations.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
AI provides advice directly to the customer with a disclaimer that it is not financial advice
Why it's wrong here
Disclaimers alone do not satisfy human review requirements for high-stakes decisions.
- ✗
Allow the AI to execute trades automatically, with an audit log for later review
Why it's wrong here
Post-hoc review is insufficient for high-stakes decisions; human must review before action.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Cisco often tests the distinction between 'human review' and 'human oversight' — candidates mistakenly think that an audit log or a disclaimer satisfies the requirement, but the trap is that regulators require proactive human approval before the action occurs, not after.
Detailed technical explanation
How to think about this question
Under the hood, a human-in-the-loop system typically implements a 'review and approve' workflow where the AI's output is placed in a pending state until a human advisor explicitly signs off via a secure interface. This is often enforced through role-based access control (RBAC) and audit trails that log the human's decision, including timestamps and override reasons, to meet compliance standards like SOC 2 or GDPR Article 22. In practice, a subtle behavior is that the human advisor must have sufficient domain expertise and access to the same data as the AI to make an informed override, which is why systems often surface the AI's confidence scores and supporting evidence alongside the recommendation.
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 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 exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
- →
Responsible AI and Data Governance — study guide chapter
Learn the concepts, then practise the questions
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Responsible AI and Data Governance practice questions
Targeted practice on this topic area only
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FAQ
Questions learners often ask
What does this Generative AI Leader question test?
Responsible AI and Data Governance — This question tests Responsible AI and Data Governance — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: AI generates recommendations, but a human advisor must review and approve before any action, and can override the AI — Option B is correct because it directly implements the regulatory requirement for human-in-the-loop (HITL) oversight in high-stakes AI decisions. In financial advisory contexts, regulations like the EU AI Act or SEC guidelines mandate that a qualified human advisor must review and approve AI-generated recommendations before any action is taken, ensuring accountability and the ability to override erroneous outputs.
What should I do if I get this Generative AI Leader 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.
About these practice questions
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Last reviewed: Jul 4, 2026
This Generative AI Leader practice question is part of Courseiva's free Google Cloud 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 Generative AI Leader exam.
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