- A
Use Cloud Scheduler to run a job every hour that checks for new files in Cloud Storage and starts the pipeline if new files exist.
Why wrong: This is not event-driven and introduces latency; also requires polling logic.
- B
Configure a Cloud Build trigger that listens to the Pub/Sub topic and executes a build step that submits the pipeline run.
Why wrong: Cloud Build triggers are optimized for code repositories, not arbitrary events; using Cloud Functions is simpler.
- C
Use Eventarc to route the Pub/Sub notification to a Cloud Function that calls the Vertex AI pipeline creation API.
Eventarc provides a serverless event-driven integration; Cloud Function handles the trigger with minimal overhead.
- D
Create a Dataflow streaming pipeline that reads from Pub/Sub and triggers the Vertex AI pipeline via a custom sink.
Why wrong: Dataflow is overkill for just triggering a pipeline; adds complexity and cost.
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.
A team is building a CI/CD pipeline for an ML model. They want to automatically trigger a Vertex AI pipeline for retraining whenever new training data arrives in a Cloud Storage bucket, but only if a specific Pub/Sub notification is published by a data ingestion process. Which approach meets these requirements with minimal operational overhead?
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 Eventarc to route the Pub/Sub notification to a Cloud Function that calls the Vertex AI pipeline creation API.
Option C is correct because Eventarc can directly listen to a Pub/Sub topic and route matching messages to a Cloud Function, which then calls the Vertex AI pipeline creation API. This serverless approach triggers the pipeline only when the specific Pub/Sub notification is published, meeting the requirement with zero infrastructure to manage and no polling overhead.
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 Cloud Scheduler to run a job every hour that checks for new files in Cloud Storage and starts the pipeline if new files exist.
Why it's wrong here
This is not event-driven and introduces latency; also requires polling logic.
- ✗
Configure a Cloud Build trigger that listens to the Pub/Sub topic and executes a build step that submits the pipeline run.
Why it's wrong here
Cloud Build triggers are optimized for code repositories, not arbitrary events; using Cloud Functions is simpler.
- ✓
Use Eventarc to route the Pub/Sub notification to a Cloud Function that calls the Vertex AI pipeline creation API.
Why this is correct
Eventarc provides a serverless event-driven integration; Cloud Function handles the trigger with minimal overhead.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Create a Dataflow streaming pipeline that reads from Pub/Sub and triggers the Vertex AI pipeline via a custom sink.
Why it's wrong here
Dataflow is overkill for just triggering a pipeline; adds complexity and cost.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates may over-engineer the solution by choosing Dataflow (Option D) because it sounds 'streaming' and 'real-time', but the simplest serverless event-driven approach (Eventarc + Cloud Function) meets the requirement with minimal operational overhead.
Detailed technical explanation
How to think about this question
Eventarc uses a Pub/Sub subscription under the hood to receive messages and then invokes the Cloud Function via HTTP or CloudEvents. The Cloud Function can use the Vertex AI client library to call the `projects.locations.pipelineJobs.create` method, passing the pipeline specification and parameters. This pattern is ideal for event-driven ML retraining because it ensures near-real-time triggering without idle compute costs, and it scales automatically with message volume.
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
Got this wrong? Here's your next step.
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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 Eventarc to route the Pub/Sub notification to a Cloud Function that calls the Vertex AI pipeline creation API. — Option C is correct because Eventarc can directly listen to a Pub/Sub topic and route matching messages to a Cloud Function, which then calls the Vertex AI pipeline creation API. This serverless approach triggers the pipeline only when the specific Pub/Sub notification is published, meeting the requirement with zero infrastructure to manage and no polling overhead.
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
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Last reviewed: Jul 4, 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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