The correct choice is a Cloud Build trigger with a custom step to run a Vertex AI Training job and deploy the model. This works because Cloud Build is Google Cloud’s native CI/CD system, and its triggers can execute custom steps—such as invoking the Vertex AI Training API to retrain a model from a GitHub repository, then deploying the updated artifact to Vertex AI Endpoints for serving. On the Google Professional Data Engineer exam, this scenario tests your understanding of how to integrate CI/CD pipelines with ML workflows, specifically that Cloud Build handles the continuous deployment orchestration while Vertex AI provides the training and serving infrastructure. A common trap is confusing Vertex AI Pipelines (an orchestration tool for ML workflows) with a CI/CD system, or selecting Cloud Functions or Cloud Run, which are event-driven and serverless but lack the pipeline control needed for model training and deployment. Memory tip: think of Cloud Build as the “builder” that triggers training and deployment, not the platform that runs the ML job itself.
PDE Operationalizing machine learning models Practice Question
This PDE practice question tests your understanding of operationalizing machine learning models. 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.
An MLOps team wants to implement continuous deployment of ML models using Cloud Build and Vertex AI. They have a GitHub repository with training code. What should they use?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Cloud Build trigger with a custom step to run Vertex AI Training job and deploy
Option A is correct: Cloud Build triggers can include custom steps to run Vertex AI Training jobs and then deploy the model. Option B is wrong because Vertex AI Pipelines is an orchestration service, not a CI/CD system; Cloud Build is the CI/CD tool. Option C is wrong because Cloud Functions is event-driven but not designed for CI/CD pipelines. Option D is wrong because Cloud Run is for serverless containers, not for training and deploying ML models.
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 using Cloud Run
Why it's wrong here
Cloud Run is for serving containers, not for ML training and deployment orchestration.
✗
Vertex AI Pipelines integrated with Cloud Build
Why it's wrong here
While Pipelines can be triggered by Cloud Build, the primary CI/CD tool is Cloud Build itself.
✗
Cloud Functions to monitor GitHub
Why it's wrong here
Cloud Functions are not designed for CI/CD pipelines.
✓
Cloud Build trigger with a custom step to run Vertex AI Training job and deploy
Why this is correct
Cloud Build can be configured to trigger on GitHub pushes and run training/deployment steps.
Related concept
Read the scenario before looking for a memorised answer.
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.
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 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.
Identify which PDE 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.
Operationalizing machine learning models — This question tests Operationalizing machine learning models — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Cloud Build trigger with a custom step to run Vertex AI Training job and deploy — Option A is correct: Cloud Build triggers can include custom steps to run Vertex AI Training jobs and then deploy the model. Option B is wrong because Vertex AI Pipelines is an orchestration service, not a CI/CD system; Cloud Build is the CI/CD tool. Option C is wrong because Cloud Functions is event-driven but not designed for CI/CD pipelines. Option D is wrong because Cloud Run is for serverless containers, not for training and deploying ML models.
What should I do if I get this PDE question wrong?
Identify which PDE 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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Question Discussion
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