hardMultiple Choice
Generative AI Leader Practice Question: Building a generative AI application that will…
A company is building a generative AI application that will generate marketing copy. They want to ensure that the content does not contain hate speech, violence, sexual content, or dangerous instructions. Which Google Cloud feature should they enable?
⚠ Common exam trap
The trap is confusing documentation or manual processes with actual technical controls; candidates might pick human review or guidebooks, but the question asks for a Google Cloud feature to enable.
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
✓
Configure safety filters and custom content controls in Vertex AI
Vertex AI provides safety filters and custom content controls that can be configured to block hate speech, violence, sexual content, and dangerous instructions. These filters are applied to both prompts and responses, allowing developers to enforce content policies. This is the most direct and automated way to ensure generated content meets safety requirements.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Configure safety filters and custom content controls in Vertex AI
Why this is correct
Vertex AI safety filters screen prompts and responses against configurable harm categories — hate speech, violence, sexual content and dangerous instructions — while custom content controls block organisation-specific terms. This directly satisfies the requirement to prevent prohibited material appearing in generated marketing copy.
- ✗
Use the People + AI Guidebook to design prompts
Why it's wrong here
The People + AI Guidebook is human-centred design guidance for building AI products; it enforces no content filtering at runtime. It is tempting because it addresses responsible AI, and would be correct when the requirement is to design user-facing interactions and expectations rather than block categories of generated text.
- ✗
Enable Model Card generation in Vertex AI
Why it's wrong here
Model Card generation documents a model's intended use, evaluation and limitations; it does not inspect or block generated content. It is tempting because it is a Vertex AI responsible-AI feature, and would be correct when the requirement is to publish transparency documentation about the model itself.
- ✗
Implement a human review loop for all outputs
Why it's wrong here
A human review loop adds manual checking after generation, which does not scale to all marketing copy and leaves harmful text reaching reviewers rather than blocking it. It is tempting because human oversight is a valid control, and would be correct when the requirement is quality assurance on a sampled, low-volume output set.
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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.