- A
Cloud Build
Cloud Build can be configured to trigger code review actions on pull requests, integrating with Git.
- B
Compute Engine
Why wrong: Compute Engine requires full VM management, contrary to the 'minimal operational overhead' requirement.
- C
Cloud Spanner
Why wrong: Cloud Spanner is a database service, not relevant for code review.
- D
Vertex AI Agent Builder
Vertex AI Agent Builder provides a managed environment to build and deploy GenAI agents that can be triggered via webhooks.
- E
Cloud Run
Why wrong: Cloud Run is a serverless compute platform; while it could host a custom service, it requires more manual setup than Agent Builder.
Question 490 of 997
Generative AI Leader Applying Generative AI in Business Practice Question
This Generative AI Leader practice question tests your understanding of applying generative ai in business. 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 wants to deploy a GenAI code review assistant that integrates into their existing Git workflow. They want to use a managed Google Cloud service to minimize operational overhead. Which TWO services should they consider? (Choose two.)
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue:
"minimum / minimize"Why it matters: Asks for the least resource use — fewest addresses, smallest subnet, lowest overhead. Eliminate over-provisioned options even if they would technically work.
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
✓
Cloud Build
Cloud Build is correct because it is a managed CI/CD platform that integrates natively with Git repositories, enabling automated code review workflows triggered by pull requests or commits. It can invoke a GenAI code review service as a build step, minimizing operational overhead by eliminating the need to manage infrastructure.
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.
- ✓
Cloud Build
Why this is correct
Cloud Build can be configured to trigger code review actions on pull requests, integrating with Git.
Clue confirmation
The clue word "minimum / minimize" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Compute Engine
Why it's wrong here
Compute Engine requires full VM management, contrary to the 'minimal operational overhead' requirement.
- ✗
Cloud Spanner
Why it's wrong here
Cloud Spanner is a database service, not relevant for code review.
- ✓
Vertex AI Agent Builder
Why this is correct
Vertex AI Agent Builder provides a managed environment to build and deploy GenAI agents that can be triggered via webhooks.
Clue confirmation
The clue word "minimum / minimize" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Cloud Run
Why it's wrong here
Cloud Run is a serverless compute platform; while it could host a custom service, it requires more manual setup than Agent Builder.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Google often tests the distinction between managed CI/CD services (Cloud Build) and general-purpose compute (Cloud Run, Compute Engine), where candidates mistakenly choose Cloud Run because it is serverless, but it lacks native Git integration for automated code review triggers.
Detailed technical explanation
How to think about this question
Cloud Build uses build triggers that can be configured to respond to GitHub, GitLab, or Bitbucket events (e.g., pull_request or push), and can execute custom steps using pre-built or community builders. Vertex AI Agent Builder provides a managed environment to deploy and serve GenAI agents, including code review models, via a REST API that Cloud Build can invoke using tools like curl or a custom step. In a real-world scenario, a company would configure a Cloud Build trigger to run a step that sends the diff to a Vertex AI Agent Builder endpoint, which returns review comments that are posted back to the pull request.
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
An e-commerce site experiences heavy traffic on Black Friday and near-zero traffic during off-peak weeks. Rather than provisioning permanent large VMs, the team uses auto-scaling groups that add capacity automatically under load and reduce it overnight. Questions like this test whether you understand elasticity, availability zones, and cloud compute scaling patterns.
What to study next
Got this wrong? Here's your next step.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
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FAQ
Questions learners often ask
What does this Generative AI Leader question test?
Applying Generative AI in Business — This question tests Applying Generative AI in Business — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Cloud Build — Cloud Build is correct because it is a managed CI/CD platform that integrates natively with Git repositories, enabling automated code review workflows triggered by pull requests or commits. It can invoke a GenAI code review service as a build step, minimizing operational overhead by eliminating the need to manage infrastructure.
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.
Are there clue words in this question I should notice?
Yes — watch for: "minimum / minimize". Asks for the least resource use — fewest addresses, smallest subnet, lowest overhead. Eliminate over-provisioned options even if they would technically work.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
About these practice questions
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Last reviewed: Jul 4, 2026
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