- A
Enable safety filters and use Vertex AI Grounding with a labeled medical dataset
This combination ensures safety and factual grounding.
- B
Use Vertex AI Grounding with a public dataset and disable safety filters
Why wrong: Grounding with a public dataset may not be trusted; safety filters are essential.
- C
Enable safety filters only, without grounding
Why wrong: Safety filters reduce harmful content but do not ensure factual accuracy.
- D
Fine-tune the model on a curated medical dataset and disable safety filters for faster responses
Why wrong: Disabling safety filters is dangerous; fine-tuning may not cover all edge cases.
Question 198 of 997
Generative AI Leader Google Cloud's Generative AI Offerings Practice Question
This Generative AI Leader practice question tests your understanding of google cloud's generative ai offerings. 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 deploys a Gemini model on Vertex AI for a healthcare application. They need to ensure that the model does not generate medical advice and that responses are grounded in trusted medical sources. Which combination of safety measures should they implement?
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
✓
Enable safety filters and use Vertex AI Grounding with a labeled medical dataset
Option A is correct because it combines two essential safety layers: safety filters block harmful content (including medical advice), and Vertex AI Grounding anchors responses to a labeled medical dataset, ensuring factual accuracy and compliance with healthcare regulations. This dual approach prevents the model from generating unverified or dangerous medical information while maintaining relevance to trusted sources.
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.
- ✓
Enable safety filters and use Vertex AI Grounding with a labeled medical dataset
Why this is correct
This combination ensures safety and factual grounding.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Use Vertex AI Grounding with a public dataset and disable safety filters
Why it's wrong here
Grounding with a public dataset may not be trusted; safety filters are essential.
- ✗
Enable safety filters only, without grounding
Why it's wrong here
Safety filters reduce harmful content but do not ensure factual accuracy.
- ✗
Fine-tune the model on a curated medical dataset and disable safety filters for faster responses
Why it's wrong here
Disabling safety filters is dangerous; fine-tuning may not cover all edge cases.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates assume fine-tuning alone is sufficient for domain-specific safety, but without grounding and safety filters, the model can still hallucinate or generate unverified medical advice, which is a key distinction Google Cloud tests in the Generative AI Leader exam.
Detailed technical explanation
How to think about this question
Vertex AI Grounding works by retrieving relevant chunks from a specified data store (e.g., a BigQuery or Cloud Storage-backed dataset) and injecting them into the prompt context, forcing the model to base its response on those sources. Safety filters operate at the model's input and output layers, using classifiers like the Vertex AI Safety Service to block categories such as medical advice, hate speech, or dangerous content. In healthcare, this combination is critical because even a single hallucinated medical recommendation could lead to regulatory violations (e.g., HIPAA) or patient harm.
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.
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FAQ
Questions learners often ask
What does this Generative AI Leader question test?
Google Cloud's Generative AI Offerings — This question tests Google Cloud's Generative AI Offerings — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Enable safety filters and use Vertex AI Grounding with a labeled medical dataset — Option A is correct because it combines two essential safety layers: safety filters block harmful content (including medical advice), and Vertex AI Grounding anchors responses to a labeled medical dataset, ensuring factual accuracy and compliance with healthcare regulations. This dual approach prevents the model from generating unverified or dangerous medical information while maintaining relevance to trusted sources.
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
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
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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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