- A
Enable grounding with security scanning tools
Why wrong: Grounding with scanning tools is not a built-in feature.
- B
Use the Vertex AI Codey API with safety settings
Why wrong: Safety settings in Codey API are for content safety, not code security.
- C
Implement a human-in-the-loop review with automated scanning
Combining human review with automated scanning is the recommended approach for code security.
- D
Use a custom safety attribute filter
Why wrong: Safety filters address harmful content, not code vulnerabilities.
Question 56 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. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. 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 is using Gemini Pro for code generation. They want to ensure that the generated code does not contain security vulnerabilities. Which approach 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
✓
Implement a human-in-the-loop review with automated scanning
Option C is correct because combining human-in-the-loop review with automated scanning directly addresses the need to catch security vulnerabilities in AI-generated code. Human reviewers can identify logic flaws and context-specific risks that automated tools miss, while automated scanners provide consistent, rapid detection of known vulnerability patterns (e.g., OWASP Top 10). This layered approach is a best practice for production-grade code generation with Gemini Pro, as it mitigates the inherent limitations of relying solely on AI safety filters or static analysis.
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 grounding with security scanning tools
Why it's wrong here
Grounding with scanning tools is not a built-in feature.
- ✗
Use the Vertex AI Codey API with safety settings
Why it's wrong here
Safety settings in Codey API are for content safety, not code security.
- ✓
Implement a human-in-the-loop review with automated scanning
Why this is correct
Combining human review with automated scanning is the recommended approach for code security.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Use a custom safety attribute filter
Why it's wrong here
Safety filters address harmful content, not code vulnerabilities.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates confuse content safety filters (which block toxic or harmful text) with code security vulnerability scanning, leading them to incorrectly select options that rely on Vertex AI safety settings or grounding, which are not designed to detect code-level security flaws.
Detailed technical explanation
How to think about this question
Under the hood, Gemini Pro generates code via autoregressive token prediction, which can introduce subtle security flaws (e.g., improper input validation, hardcoded credentials) that are not caught by surface-level safety filters. A human-in-the-loop review with automated scanning (e.g., using tools like Snyk, Checkmarx, or Google's own Assured Open Source Software) provides a defense-in-depth strategy: automated scanners apply static application security testing (SAST) rules to flag known patterns, while human reviewers assess business logic and context-specific risks, such as whether generated code correctly handles authentication tokens in a multi-tenant environment.
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: Implement a human-in-the-loop review with automated scanning — Option C is correct because combining human-in-the-loop review with automated scanning directly addresses the need to catch security vulnerabilities in AI-generated code. Human reviewers can identify logic flaws and context-specific risks that automated tools miss, while automated scanners provide consistent, rapid detection of known vulnerability patterns (e.g., OWASP Top 10). This layered approach is a best practice for production-grade code generation with Gemini Pro, as it mitigates the inherent limitations of relying solely on AI safety filters or static analysis.
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.
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Last reviewed: Jul 4, 2026
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