- A
Use Cloud Tasks to queue pipeline runs daily.
Why wrong: Cloud Tasks is for distributed task queues, not for scheduling recurring jobs.
- B
Create a Cloud Scheduler job that calls the Vertex AI API to create a pipeline job.
Cloud Scheduler can invoke Vertex AI API via HTTP or Pub/Sub to trigger a pipeline on a schedule.
- C
Set a cron expression in the pipeline definition file using the 'schedule' parameter.
Why wrong: The pipeline definition does not support scheduling.
- D
Use the Vertex AI Pipelines UI to set a schedule directly on the pipeline.
Why wrong: Vertex AI Pipelines does not have a built-in schedule feature in the UI.
Question 797 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 ML engineer needs to trigger a Vertex AI Pipeline on a recurring schedule, every 24 hours, to retrain a model with the latest data. Which approach should they use to set up this 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
✓
Create a Cloud Scheduler job that calls the Vertex AI API to create a pipeline job.
Cloud Scheduler is the native Google Cloud service for cron-based job scheduling. By configuring a Cloud Scheduler job to call the Vertex AI API (e.g., via a HTTP POST to the projects.locations.pipelineJobs.create endpoint), the engineer can trigger a pipeline run every 24 hours. This approach is reliable, supports authentication via OAuth, and integrates directly with Vertex AI Pipelines without requiring additional orchestration code.
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 Tasks to queue pipeline runs daily.
Why it's wrong here
Cloud Tasks is for distributed task queues, not for scheduling recurring jobs.
- ✓
Create a Cloud Scheduler job that calls the Vertex AI API to create a pipeline job.
Why this is correct
Cloud Scheduler can invoke Vertex AI API via HTTP or Pub/Sub to trigger a pipeline on a schedule.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Set a cron expression in the pipeline definition file using the 'schedule' parameter.
Why it's wrong here
The pipeline definition does not support scheduling.
- ✗
Use the Vertex AI Pipelines UI to set a schedule directly on the pipeline.
Why it's wrong here
Vertex AI Pipelines does not have a built-in schedule feature in the UI.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Cisco often tests the misconception that Vertex AI Pipelines has a built-in scheduling feature (like a cron parameter in the pipeline definition or a UI schedule button), when in fact scheduling must be implemented using Cloud Scheduler or similar external services.
Detailed technical explanation
How to think about this question
Cloud Scheduler uses Unix cron format and supports HTTP targets with OIDC or OAuth tokens for secure API calls. When triggering a Vertex AI Pipeline, the Cloud Scheduler job sends a POST request to the pipelineJobs.create endpoint, including the pipeline specification and runtime parameters. This pattern decouples scheduling from pipeline execution, allowing the pipeline to be versioned and tested independently 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 company's IT admin needs to give a contractor read-only access to production logs without sharing account credentials. Using role-based access control (RBAC) and temporary scoped permissions — not a permanent shared password — is the correct pattern. Questions like this test whether you can apply least-privilege access across cloud identity services.
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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Automating and Orchestrating ML Pipelines — study guide chapter
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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: Create a Cloud Scheduler job that calls the Vertex AI API to create a pipeline job. — Cloud Scheduler is the native Google Cloud service for cron-based job scheduling. By configuring a Cloud Scheduler job to call the Vertex AI API (e.g., via a HTTP POST to the projects.locations.pipelineJobs.create endpoint), the engineer can trigger a pipeline run every 24 hours. This approach is reliable, supports authentication via OAuth, and integrates directly with Vertex AI Pipelines without requiring additional orchestration code.
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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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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