Generative AI Leader Practice Question: Business Strategies for Generative AI Solutions
A marketing team wants to use generative AI to draft product descriptions. Legal requires that no customer data or proprietary campaign plans appear in any prompt sent to the model. Which practice should the team adopt first?
⚠ Common exam trap
Watch out — candidates often confuse output-side controls with input-side data governance when the restriction is specifically about what is sent to the model.
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
✓
Establish prompt input guidelines and a review step that excludes customer data and proprietary campaign details.
Because the restriction concerns what is placed into prompts, the effective first step is to define allowable prompt content and review submissions against it. That prevents sensitive data from leaving the organization and creates evidence of compliance. Temperature settings, output filtering, and contractual addenda do not control what data is included in the prompt, so they cannot satisfy the stated legal constraint.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Ask the model provider to sign a data processing addendum covering all prompts submitted by the team.
Why it's wrong here
A data processing addendum governs how the provider handles data it receives, but it does not authorize sending customer data or proprietary plans in the first place. Legal prohibited that content from appearing in prompts, so contractual terms alone do not meet the requirement. Input governance is still needed.
- ✗
Configure the model with a low temperature to reduce the chance that sensitive text is reproduced.
Why it's wrong here
Temperature affects randomness in generated text, not what data is included in the prompt. Sensitive content would still be transmitted to the model regardless of temperature, so this does not satisfy the legal requirement. Preventing sensitive data from entering prompts requires input controls, not generation settings.
- ✗
Enable a content filter on the model output to block any sensitive information that appears in drafts.
Why it's wrong here
Output filters address what comes back from the model, but the legal concern is data leaving the organization in the prompt. Filtering output does not stop customer data from being transmitted, and it may not reliably detect proprietary campaign details. The control must operate on the input side.
- ✓
Establish prompt input guidelines and a review step that excludes customer data and proprietary campaign details.
Why this is correct
The requirement is about what enters the prompt, so the first control is defining what may and may not be included and verifying it before submission. Clear guidelines plus a review step directly prevent sensitive content from being sent, and they create an auditable practice the legal team can inspect.
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JA
Written and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed September 2026 · checked against the official Google Cloud exam blueprint
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.