The answer is Cloud Functions triggered by Cloud Storage events. This is the correct choice because Vertex AI Pipelines lacks native event-driven triggers, so the recommended pattern is to use Cloud Functions that listen for Cloud Storage events, such as object finalize or create, when new training data is uploaded. The Cloud Function then programmatically submits the pipeline run via the Vertex AI Pipelines client library or REST API, enabling a fully automated retraining workflow. On the Google Professional Machine Learning Engineer exam, this tests your understanding of integrating serverless compute with Vertex AI for event-driven MLOps, often appearing as a scenario where you must choose between Cloud Functions, Cloud Scheduler, or Pub/Sub. A common trap is selecting Cloud Scheduler for scheduled runs instead of event-driven triggers. Memory tip: think “Storage event fires a Function, which fires the Pipeline” — or simply “Object lands, Function hands, Pipeline runs.”
PMLE Collaborating to manage data and models Practice Question
This PMLE practice question tests your understanding of collaborating to manage data and 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 needs to automatically retrain a model when new training data becomes available. They use Vertex AI Pipelines. What is the recommended way to trigger the pipeline?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Cloud Functions triggered by Cloud Storage events
Option C is correct because Vertex AI Pipelines does not natively support event-driven triggers. The recommended pattern is to use Cloud Functions, which can be triggered by Cloud Storage events (e.g., object finalize/create) when new training data is uploaded. The Cloud Function then programmatically submits the pipeline run via the Vertex AI Pipelines client library or REST API, enabling an automated retraining workflow.
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.
✗
Use Model Evaluation to decide
Why it's wrong here
Model Evaluation does not initiate retraining.
✗
Set up a trigger in Vertex AI Pipelines
Why it's wrong here
Vertex AI Pipelines does not have built-in triggers; you use external services.
✓
Cloud Functions triggered by Cloud Storage events
Why this is correct
Cloud Functions can listen for object finalize events in Cloud Storage and start the pipeline.
Related concept
Read the scenario before looking for a memorised answer.
✗
Cloud Scheduler on a daily basis
Why it's wrong here
Daily scheduling is time-based, not responsive to new data arrival.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates assume Vertex AI Pipelines has a built-in trigger mechanism (Option B) because many CI/CD tools do, but Google Cloud's recommended pattern relies on external event-driven services like Cloud Functions.
Detailed technical explanation
How to think about this question
Under the hood, Cloud Functions uses a Cloud Storage trigger that listens for specific event types (e.g., google.storage.object.finalize) and invokes the function with metadata about the new object. The function then authenticates via a service account, constructs a PipelineJob resource, and calls the projects.locations.pipelineJobs.create method. A subtle behavior is that the function must handle idempotency to avoid duplicate pipeline runs if the same event is delivered more than once, which is common in distributed systems.
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 media company stores terabytes of video archives that are accessed once a year for audit purposes. Moving these objects to a cold storage tier (Azure Archive, S3 Glacier, or Google Nearline) costs a fraction of hot storage. Questions like this test whether you understand storage tiers, access frequency tradeoffs, and retrieval latency requirements.
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.
Collaborating to manage data and models — This question tests Collaborating to manage data and models — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Cloud Functions triggered by Cloud Storage events — Option C is correct because Vertex AI Pipelines does not natively support event-driven triggers. The recommended pattern is to use Cloud Functions, which can be triggered by Cloud Storage events (e.g., object finalize/create) when new training data is uploaded. The Cloud Function then programmatically submits the pipeline run via the Vertex AI Pipelines client library or REST API, enabling an automated retraining workflow.
What should I do if I get this PMLE 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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Question Discussion
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