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Automating and Orchestrating ML PipelineseasyMultiple SelectObjective-mapped

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 uses Vertex AI Pipelines for ML training. They want to implement continuous training triggered by new data arrival. Which two Google Cloud services should they use to achieve this? (Choose two.)

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

Cloud Functions

Cloud Functions is correct because it can be triggered directly by Cloud Storage events (e.g., object finalize/create) to start a Vertex AI Pipeline run when new data arrives, enabling event-driven continuous training without manual intervention. Cloud Storage is correct because it serves as the source of new data and its event notifications (via Pub/Sub) are the trigger mechanism that Cloud Functions subscribes to, forming the core event-driven architecture.

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.

  • Cloud Functions

    Why this is correct

    Cloud Functions can be triggered by GCS events and start a Vertex AI pipeline.

    Related concept

    Read the scenario before looking for a memorised answer.

  • Cloud Scheduler

    Why it's wrong here

    Cloud Scheduler is for time-based schedules, not event-driven triggers.

  • Cloud Storage

    Why this is correct

    New data uploaded to GCS can be used as a trigger via Cloud Functions.

    Related concept

    Read the scenario before looking for a memorised answer.

  • Vertex AI Experiments

    Why it's wrong here

    Experiments track runs but do not trigger pipelines.

  • Cloud Composer

    Why it's wrong here

    Cloud Composer can orchestrate pipelines but is not the simplest event-driven trigger.

Common exam traps

Common exam trap: answer the scenario, not the keyword

Google often tests the distinction between event-driven triggers (Cloud Functions + Cloud Storage) and time-based schedulers (Cloud Scheduler), leading candidates to incorrectly select Cloud Scheduler when the requirement is 'triggered by new data arrival' rather than 'run at a specific time'.

Detailed technical explanation

How to think about this question

Under the hood, Cloud Storage bucket notifications are delivered via Pub/Sub topics; Cloud Functions subscribes to that topic and receives the event payload containing bucket and object metadata. The function then uses the Vertex AI Pipelines REST API or client library to submit a pipeline run, passing the new data URI as a parameter. In real-world scenarios, this pattern is preferred over Cloud Composer for simple event-driven retraining because it avoids the overhead of a managed Airflow environment and scales automatically with event 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

ModelYou ManageProvider ManagesExamples
IaaSOS, runtime, apps, dataHardware, hypervisor, networkingEC2, Azure VMs, GCP Compute Engine
PaaSApps and dataOS, runtime, middleware, hardwareElastic Beanstalk, Azure App Service
SaaSData and settings onlyEverything elseMicrosoft 365, Salesforce, Workday
FaaS / ServerlessFunction code onlyInfra, scaling, runtimeLambda, Azure Functions, Cloud Run
CaaSContainers and appsKubernetes, OS, hardwareEKS, 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: Cloud Functions — Cloud Functions is correct because it can be triggered directly by Cloud Storage events (e.g., object finalize/create) to start a Vertex AI Pipeline run when new data arrives, enabling event-driven continuous training without manual intervention. Cloud Storage is correct because it serves as the source of new data and its event notifications (via Pub/Sub) are the trigger mechanism that Cloud Functions subscribes to, forming the core event-driven architecture.

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

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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.