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Monitoring ML SolutionsmediumMultiple ChoiceObjective-mapped

PMLE Monitoring ML Solutions Practice Question

A company wants to implement a retraining trigger for their ML model. They have set up Cloud Monitoring alerts that fire when drift exceeds a threshold. What should be the target of the alert to automatically start a Vertex AI Pipeline for retraining?

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

Pub/Sub topic

Cloud Monitoring alerts can send notifications to Pub/Sub topics. A Pub/Sub message can then trigger a Cloud Function that starts a Vertex AI Pipeline run.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • Vertex AI Model Registry

    Why it's wrong here

    Model Registry stores models, not triggers.

  • Cloud Storage bucket

    Why it's wrong here

    Monitoring alerts cannot directly write to Cloud Storage.

  • Cloud Functions HTTP trigger

    Why it's wrong here

    Direct HTTP trigger from Monitoring is not supported; Pub/Sub is the standard integration.

  • Pub/Sub topic

    Why this is correct

    Correct: Monitoring alert → Pub/Sub → Cloud Function → Vertex AI Pipeline.

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Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

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.