- A
Deploy the tool without any security checks and rely on manual review
Why wrong: Manual review is slow and not scalable.
- B
Train a custom code generation model from scratch on a large dataset
Why wrong: Too time-consuming and costly for a quick launch.
- C
Use a pre-trained code model (e.g., Codey) and add a security filtering layer
Leverages existing model, adds security checks, fast to deploy.
- D
Use a smaller model and restrict outputs to only simple code patterns
Why wrong: Restricting outputs limits functionality and may not meet user needs.
Question 665 of 997
Pre-trained Code Model with Security Filtering for GenAI
This Generative AI Leader practice question tests your understanding of business strategies for generative ai solutions. 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 startup is building a generative AI tool that helps users write code. They want to launch quickly but need to ensure the generated code is secure and does not introduce vulnerabilities. They have a small team of developers with some ML experience. The tool should be cloud-hosted. Which approach balances speed, security, and cost?
Quick Answer
The correct approach is to use a pre-trained code model with security filtering, such as Codey combined with a dedicated safety layer. This choice balances speed, security, and cost because a pre-trained model eliminates the need for expensive, time-consuming training from scratch, while the security filter acts as a guardrail to catch common vulnerabilities like injection flaws or unsafe API calls before code is output. On the Google Cloud Generative AI Leader exam, this scenario tests your understanding of pragmatic deployment trade-offs—specifically, how to leverage existing foundation models rather than over-investing in custom training. A common trap is assuming manual review (Option C) is scalable or that restricting outputs (Option D) preserves usefulness; the exam rewards recognizing that a pre-trained code model with security filtering is the fastest path to a secure, cloud-hosted tool for a small team. Memory tip: think “Pre-trained plus filter” as the “fast lane” to secure code generation.
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
✓
Use a pre-trained code model (e.g., Codey) and add a security filtering layer
Option C is correct because using a pre-trained code model like Codey with a security filtering layer offers the best balance: rapid deployment via an existing model, built-in safety checks to mitigate vulnerabilities, and cost-effectiveness by avoiding custom training. Option A (manual review) is unscalable and insecure. Option B (training from scratch) is too slow and expensive. Option D (restricting outputs) limits utility.
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.
- ✗
Deploy the tool without any security checks and rely on manual review
Why it's wrong here
Manual review is slow and not scalable.
- ✗
Train a custom code generation model from scratch on a large dataset
Why it's wrong here
Too time-consuming and costly for a quick launch.
- ✓
Use a pre-trained code model (e.g., Codey) and add a security filtering layer
Why this is correct
Leverages existing model, adds security checks, fast to deploy.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Use a smaller model and restrict outputs to only simple code patterns
Why it's wrong here
Restricting outputs limits functionality and may not meet user needs.
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.
Trap categories for this question
Command / output trap
Restricting outputs limits functionality and may not meet user needs.
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 startup's cloud architect reviews their monthly bill and notices costs are higher than expected for a long-running batch job. Switching from on-demand instances to Reserved Instances — or using Spot/Preemptible VMs — can reduce compute costs by up to 72 %. Questions like this test whether you understand the tradeoffs between commitment, flexibility, and cost across cloud pricing models.
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?
Business Strategies for Generative AI Solutions — This question tests Business Strategies for Generative AI Solutions — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Use a pre-trained code model (e.g., Codey) and add a security filtering layer — Option C is correct because using a pre-trained code model like Codey with a security filtering layer offers the best balance: rapid deployment via an existing model, built-in safety checks to mitigate vulnerabilities, and cost-effectiveness by avoiding custom training. Option A (manual review) is unscalable and insecure. Option B (training from scratch) is too slow and expensive. Option D (restricting outputs) limits utility.
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: Jun 23, 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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