- A
Configure the trigger, then Define the pipeline, then Commit to trigger training and deployment
This is the correct order because you first set up the Cloud Build trigger to listen for commits, then define the pipeline code, and finally push the code to trigger the pipeline.
- B
Define the pipeline, then Configure the trigger, then Commit to trigger training and deployment
Why wrong: This order is incorrect because the trigger should be configured before writing the pipeline code to ensure the trigger is ready to react to commits; swapping these steps may lead to delays or missed triggers.
- C
Commit, then Configure the trigger, then Define the pipeline
Why wrong: This is incorrect because committing code before configuring the trigger and defining the pipeline means no trigger exists to respond to the commit, and the pipeline code isn't yet defined, so the CI/CD process fails.
- D
Configure the trigger, then Commit, then Define the pipeline
Why wrong: This order is incorrect because committing code before defining the pipeline results in the trigger activating without a pipeline to execute, causing the build to fail or produce no results.
Implement CI/CD Pipeline for ML Models Using Cloud Build and Vertex AI
This PMLE practice question tests your understanding of cloud build triggers. This is a configuration task: choose the command set that satisfies every stated requirement. Small differences — like 'secret' vs 'password' or 'transport input ssh' vs 'all' — change whether the answer is correct. A key principle to apply: cloud Build triggers. 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.
Drag and drop the steps to implement a CI/CD pipeline for ML models using Cloud Build and Vertex AI in the correct order.
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 the trigger, then Define the pipeline, then Commit to trigger training and deployment
In a CI/CD pipeline for ML models using Cloud Build and Vertex AI, the correct order is: first, configure the trigger (e.g., a Cloud Build trigger linked to a source repository), then define the pipeline (e.g., using Cloud Build configuration file or Vertex AI Pipelines), and finally commit code changes to trigger the automated training and deployment. This ensures that the trigger is set up to detect changes and the pipeline is defined before execution.
Key principle: Cloud Build triggers
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 the trigger, then Define the pipeline, then Commit to trigger training and deployment
Why this is correct
This is the correct order because you first set up the Cloud Build trigger to listen for commits, then define the pipeline code, and finally push the code to trigger the pipeline.
Related concept
Cloud Build triggers
- ✗
Define the pipeline, then Configure the trigger, then Commit to trigger training and deployment
Why it's wrong here
This order is incorrect because the trigger should be configured before writing the pipeline code to ensure the trigger is ready to react to commits; swapping these steps may lead to delays or missed triggers.
- ✗
Commit, then Configure the trigger, then Define the pipeline
Why it's wrong here
This is incorrect because committing code before configuring the trigger and defining the pipeline means no trigger exists to respond to the commit, and the pipeline code isn't yet defined, so the CI/CD process fails.
- ✗
Configure the trigger, then Commit, then Define the pipeline
Why it's wrong here
This order is incorrect because committing code before defining the pipeline results in the trigger activating without a pipeline to execute, causing the build to fail or produce no results.
Common exam traps
Common exam trap: answer the scenario, not the keyword
A common trap is to think that committing code should come first, but the pipeline and trigger must be defined beforehand.
Detailed technical explanation
How to think about this question
Treat this as a scenario question. Identify the problem, the constraint, and the best action. Then compare each option against those facts.
KKey Concepts to Remember
- Cloud Build triggers
- Vertex AI Pipelines
- CI/CD for ML
- Automated training and deployment
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
Cloud Build triggers
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. Cloud Build triggers 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.
Review cloud Build triggers, then practise related PMLE questions on the same topic to reinforce the concept.
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FAQ
Questions learners often ask
What does this PMLE question test?
Cloud Build triggers
What is the correct answer to this question?
The correct answer is: Configure the trigger, then Define the pipeline, then Commit to trigger training and deployment — In a CI/CD pipeline for ML models using Cloud Build and Vertex AI, the correct order is: first, configure the trigger (e.g., a Cloud Build trigger linked to a source repository), then define the pipeline (e.g., using Cloud Build configuration file or Vertex AI Pipelines), and finally commit code changes to trigger the automated training and deployment. This ensures that the trigger is set up to detect changes and the pipeline is defined before execution.
What should I do if I get this PMLE question wrong?
Review cloud Build triggers, then practise related PMLE questions on the same topic to reinforce the concept.
What is the key concept behind this question?
Cloud Build triggers
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Last reviewed: Jun 11, 2026
This PMLE 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 PMLE exam.
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