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Monitoring ML SolutionsmediumMultiple SelectObjective-mapped

PMLE Monitoring ML Solutions Practice Question

A company wants to automatically retrain their model when data drift is detected. Which THREE components are needed to implement this pipeline?

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 Function to invoke Vertex AI Pipeline

The typical flow: Cloud Monitoring alert on drift → Pub/Sub topic → Cloud Function → Vertex AI Pipeline for training. Model Registry stores the new model after training.

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 Function to invoke Vertex AI Pipeline

    Why this is correct

    Executes the retraining pipeline.

  • Vertex AI Feature Store

    Why it's wrong here

    Not required for retraining trigger; used for feature serving.

  • Cloud Monitoring alert policy for drift metric

    Why this is correct

    Triggers the flow when drift exceeds threshold.

  • Pub/Sub topic

    Why this is correct

    Receives alert and passes to Cloud Function.

  • Cloud Storage bucket for storing training data

    Why it's wrong here

    Storage is needed but not a component in the trigger pipeline; training data is separate.

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JA

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.