PMLE Monitoring ML Solutions Practice Question
An ML team is using Population Stability Index (PSI) to monitor feature drift on a Vertex AI Endpoint. The PSI value for a feature is 0.25, which exceeds the alert threshold of 0.2. The feature has high SHAP importance. The team wants to automatically retrain the model. What is the correct end-to-end setup?
⚠ Common exam trap
PMLE often tests the correct GCP service chain for event-driven ML automation — candidates confuse Cloud Logging with Cloud Monitoring or invert the Pub/Sub/Cloud Functions order, missing that Monitoring is the alerting source and Logging is not an event trigger.
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 Monitoring alert → Pub/Sub → Cloud Functions → Vertex AI Pipeline (with training and deployment steps)
The correct end-to-end flow is: Vertex AI Model Monitoring detects the PSI threshold breach and emits a metric to Cloud Monitoring; a Cloud Monitoring alerting policy fires and publishes to a Pub/Sub topic; a Cloud Function subscribes and triggers a Vertex AI Pipeline that retrains and redeploys the model. This chain uses the native monitoring-to-automation path on GCP.
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 Monitoring alert → Cloud Scheduler → Vertex AI Training
Why it's wrong here
Model Monitoring does not generate alerts directly; Cloud Monitoring does. Also, Cloud Scheduler is for cron jobs, not event-driven.
- ✗
Cloud Functions → Pub/Sub → Cloud Monitoring → Vertex AI Pipeline
Why it's wrong here
The order is reversed; Cloud Monitoring triggers Pub/Sub, not the other way around.
- ✓
Cloud Monitoring alert → Pub/Sub → Cloud Functions → Vertex AI Pipeline (with training and deployment steps)
Why this is correct
Correct: This is the recommended architecture for automated retraining.
- ✗
Cloud Monitoring alert → Cloud Logging → Cloud Functions → Vertex AI Training
Why it's wrong here
Cloud Logging is not a direct trigger; Pub/Sub is used for decoupling.
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JA
Written and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed September 2026 · checked against the official Google Cloud exam blueprint
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.