PMLE Monitoring ML Solutions Practice Question
A team is using Vertex AI Model Monitoring and wants to set up automated retraining when drift is detected. Which THREE services are needed to implement this pipeline? (Choose three.)
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
The typical pipeline: Cloud Monitoring alert on drift → Pub/Sub message → Cloud Function or Cloud Run → triggers Vertex AI Pipeline for retraining. Optionally, Cloud Scheduler is not needed as it's event-driven.
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 Scheduler
Why it's wrong here
Cloud Scheduler is for scheduled jobs, not event-driven triggers from alerts.
- ✗
Vertex AI Model Monitoring
Why it's wrong here
Model Monitoring detects drift but does not trigger retraining; it's already in use for detection.
- ✓
Cloud Functions
Why this is correct
Cloud Functions subscribes to Pub/Sub and invokes the pipeline.
- ✓
Cloud Monitoring
Why this is correct
Cloud Monitoring evaluates the drift metric and triggers an alert.
- ✓
Cloud Pub/Sub
Why this is correct
Pub/Sub delivers the alert message to the retraining trigger.
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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.