Question 844 of 997
Applying Generative AI in BusinesshardMultiple ChoiceObjective-mapped

Generative AI Leader Applying Generative AI in Business Practice Question

This Generative AI Leader practice question tests your understanding of applying generative ai in business. 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 global company wants to deploy a GenAI application that must comply with GDPR and CCPA. They need to ensure that user data submitted to the LLM is not used for model training or improvement. Which combination of actions should they take on Vertex AI?

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

Disable data logging and use a pai-saas-llm model with a contract that prohibits training on inference data

Disabling data logging and using a model that does not train on user data (like a custom deployment) ensures compliance. Default settings may allow training on data.

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.

  • Disable data logging and use a pai-saas-llm model with a contract that prohibits training on inference data

    Why this is correct

    Disabling logging prevents data retention; contractual prohibition ensures data is not used for training.

    Related concept

    Read the scenario before looking for a memorised answer.

  • Enable data logging for debugging and rely on model cards for compliance

    Why it's wrong here

    Data logging would store user data, risking non-compliance; model cards do not enforce training restrictions.

  • Use the default Vertex AI settings, which automatically anonymize data

    Why it's wrong here

    Default settings may not anonymize data; data could still be used for model improvement.

  • Store all user prompts in a separate BigQuery table for audit trails

    Why it's wrong here

    Storing prompts creates a copy of user data, which may violate GDPR/CCPA unless explicit consent is obtained.

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 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 Generative AI Leader 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 Generative AI Leader question test?

Applying Generative AI in Business — This question tests Applying Generative AI in Business — Read the scenario before looking for a memorised answer..

What is the correct answer to this question?

The correct answer is: Disable data logging and use a pai-saas-llm model with a contract that prohibits training on inference data — Disabling data logging and using a model that does not train on user data (like a custom deployment) ensures compliance. Default settings may allow training on data.

What should I do if I get this Generative AI Leader question wrong?

Identify which Generative AI Leader 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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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.