PMLE Monitoring ML Solutions Practice Question
An ML team wants to automatically retrain a model when data drift is detected. They have set up a Cloud Monitoring alert on drift. What service should they use to trigger a retraining pipeline in response to the alert?
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 Monitoring alerts can send notifications to Pub/Sub topics. A Pub/Sub message can then trigger a Cloud Function or Cloud Run service that starts a Vertex AI Pipeline for retraining.
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 subscribe to Pub/Sub and trigger Vertex AI Pipelines, enabling automated retraining.
- ✗
Cloud Scheduler
Why it's wrong here
Cloud Scheduler is for scheduled jobs, not event-driven triggers from alerts.
- ✗
Vertex AI Feature Store
Why it's wrong here
Feature Store is unrelated to triggering retraining pipelines.
- ✗
Vertex AI Model Monitoring
Why it's wrong here
Model Monitoring only detects drift; it does not orchestrate retraining pipelines.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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