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.