- A
Use Cloud Scheduler to call the Vertex AI pipeline creation API
Cloud Scheduler can invoke a Cloud Function that creates a pipeline run at the specified time.
- B
Deploy the pipeline as a Cloud Run job with a cron trigger
Why wrong: Cloud Run jobs are not designed to run Vertex AI pipelines; the trigger should directly call the API.
- C
Use Vertex AI Experiments to schedule runs
Why wrong: Vertex AI Experiments is for tracking experiments, not scheduling.
- D
Configure a cron job inside the pipeline definition
Why wrong: Pipeline definitions do not include scheduling; they define the workflow steps.
Question 63 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.
A company wants to automatically retrain their model every night at 2 AM using Vertex AI Pipelines. Which approach should they use to trigger the pipeline on a schedule?
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 Scheduler to call the Vertex AI pipeline creation API
Cloud Scheduler is the correct approach because it can directly invoke the Vertex AI Pipeline creation API via an HTTP trigger at a specified cron schedule (e.g., 2 AM daily). This integrates natively with Vertex AI's pipeline orchestration, allowing the scheduler to submit a pipeline run without additional infrastructure. The other options either lack native Vertex AI pipeline support or introduce unnecessary complexity.
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 call the Vertex AI pipeline creation API
Why this is correct
Cloud Scheduler can invoke a Cloud Function that creates a pipeline run at the specified time.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Deploy the pipeline as a Cloud Run job with a cron trigger
Why it's wrong here
Cloud Run jobs are not designed to run Vertex AI pipelines; the trigger should directly call the API.
- ✗
Use Vertex AI Experiments to schedule runs
Why it's wrong here
Vertex AI Experiments is for tracking experiments, not scheduling.
- ✗
Configure a cron job inside the pipeline definition
Why it's wrong here
Pipeline definitions do not include scheduling; they define the workflow steps.
Common exam traps
Common exam trap: answer the scenario, not the keyword
A common mistake is confusing scheduling a pipeline run (using Cloud Scheduler + Vertex AI API) with scheduling tasks inside a pipeline (using cron within the pipeline definition). Neither Vertex AI Experiments nor Cloud Run jobs are designed for scheduled pipeline orchestration.
Detailed technical explanation
How to think about this question
Cloud Scheduler uses cron expressions (e.g., '0 2 * * *') to fire HTTP requests to the Vertex AI Pipeline API endpoint (projects/{project}/locations/{location}/pipelineJobs). The API accepts a PipelineJob specification, and the scheduler can authenticate via OAuth2 or service account impersonation. This pattern decouples scheduling from pipeline logic, enabling independent scaling and monitoring of the trigger mechanism.
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 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 exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
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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 Scheduler to call the Vertex AI pipeline creation API — Cloud Scheduler is the correct approach because it can directly invoke the Vertex AI Pipeline creation API via an HTTP trigger at a specified cron schedule (e.g., 2 AM daily). This integrates natively with Vertex AI's pipeline orchestration, allowing the scheduler to submit a pipeline run without additional infrastructure. The other options either lack native Vertex AI pipeline support or introduce unnecessary complexity.
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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