- A
Configure a Vertex AI pipeline trigger directly on the bucket using the GCP Console.
Why wrong: Vertex AI does not support direct bucket triggers.
- B
Use Pub/Sub notifications from the bucket and a Dataflow job to start the pipeline.
Why wrong: Dataflow is not needed for simple triggering; a Cloud Function is simpler and more appropriate.
- C
Set up a Cloud Scheduler job that runs every minute and checks for new files in the bucket.
Why wrong: Polling is inefficient and not event-driven; Cloud Scheduler is for scheduled jobs.
- D
Use Cloud Functions triggered by Cloud Storage events to call the Vertex AI pipeline API.
This is the recommended event-driven architecture: Storage event → Cloud Function → pipeline.
Question 553 of 1,000
PMLE Automating and Orchestrating ML Pipelines Practice Question
This PMLE practice question tests your understanding of automating and orchestrating ml pipelines. 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 organization wants to trigger a Vertex AI pipeline whenever new data arrives in a Cloud Storage bucket. Which approach should they use?
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 Cloud Functions triggered by Cloud Storage events to call the Vertex AI pipeline API.
Option D is correct because Cloud Functions can be directly triggered by Cloud Storage events (e.g., `google.storage.object.finalize`) and can then call the Vertex AI pipeline API using the Cloud SDK or client libraries. This provides a serverless, event-driven architecture that reacts immediately to new data without polling or additional 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.
- ✗
Configure a Vertex AI pipeline trigger directly on the bucket using the GCP Console.
Why it's wrong here
Vertex AI does not support direct bucket triggers.
- ✗
Use Pub/Sub notifications from the bucket and a Dataflow job to start the pipeline.
Why it's wrong here
Dataflow is not needed for simple triggering; a Cloud Function is simpler and more appropriate.
- ✗
Set up a Cloud Scheduler job that runs every minute and checks for new files in the bucket.
Why it's wrong here
Polling is inefficient and not event-driven; Cloud Scheduler is for scheduled jobs.
- ✓
Use Cloud Functions triggered by Cloud Storage events to call the Vertex AI pipeline API.
Why this is correct
This is the recommended event-driven architecture: Storage event → Cloud Function → pipeline.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates may assume Vertex AI pipelines have a built-in Cloud Storage trigger (Option A) or over-engineer the solution with Dataflow (Option B), when the simplest and most native serverless approach is Cloud Functions.
Detailed technical explanation
How to think about this question
Under the hood, Cloud Functions uses Eventarc to receive Cloud Storage event notifications via Pub/Sub, then invokes the function with the event payload containing bucket and object metadata. The function can then authenticate to Vertex AI using the default service account and call `projects.locations.pipelines.jobs.create` to start the pipeline. A subtle behavior is that Cloud Storage event notifications are delivered at least once, so the function should be idempotent to handle duplicate invocations.
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.
Quick reference
Cloud Service Model Comparison
| Model | You Manage | Provider Manages | Examples |
|---|---|---|---|
| IaaS | OS, runtime, apps, data | Hardware, hypervisor, networking | EC2, Azure VMs, GCP Compute Engine |
| PaaS | Apps and data | OS, runtime, middleware, hardware | Elastic Beanstalk, Azure App Service |
| SaaS | Data and settings only | Everything else | Microsoft 365, Salesforce, Workday |
| FaaS / Serverless | Function code only | Infra, scaling, runtime | Lambda, Azure Functions, Cloud Run |
| CaaS | Containers and apps | Kubernetes, OS, hardware | EKS, AKS, GKE |
What to study next
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FAQ
Questions learners often ask
What does this PMLE question test?
Automating and Orchestrating ML Pipelines — This question tests Automating and Orchestrating ML Pipelines — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Use Cloud Functions triggered by Cloud Storage events to call the Vertex AI pipeline API. — Option D is correct because Cloud Functions can be directly triggered by Cloud Storage events (e.g., `google.storage.object.finalize`) and can then call the Vertex AI pipeline API using the Cloud SDK or client libraries. This provides a serverless, event-driven architecture that reacts immediately to new data without polling or additional infrastructure.
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.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
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Last reviewed: Jul 4, 2026
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