PMLE Monitoring ML Solutions Practice Question
An ML engineer needs to track the costs incurred by Vertex AI prediction endpoints. Which tool should they use to set budget alerts and monitor spending?
⚠ Common exam trap
Many candidates confuse operational monitoring tools (Cloud Monitoring, Model Monitoring) with billing-scoped tools — candidates pick Cloud Monitoring because it 'alerts,' but only Budgets & Alerts works on cost data.
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
✓
Google Cloud Budgets & Alerts
Google Cloud Budgets & Alerts is the dedicated billing-scoped tool that lets you define a budget amount (or filter by project/service/label) and attach alert thresholds at percentages of actual or forecasted spend. It is the only option that operates on billing data and can trigger Pub/Sub notifications or email alerts when Vertex AI endpoint costs cross a threshold. Model Monitoring, Cloud Logging, and Cloud Monitoring track operational metrics, not monetary spend.
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
Why it's wrong here
Model Monitoring detects prediction drift, skew and feature anomalies on deployed endpoints; it never reads billing data, so it cannot set budget alerts. It is tempting because it also targets Vertex AI endpoints, but it would be the right choice for data-quality or drift alerting, not cost tracking.
- ✗
Cloud Logging
Why it's wrong here
Cloud Logging stores and queries log entries; it does not aggregate billing charges or trigger budget notifications. It is the right tool for auditing API activity or debugging service errors, not for monitoring Vertex AI endpoint spending.
- ✗
Cloud Monitoring with custom metrics
Why it's wrong here
Custom metrics track arbitrary measurements, but budget alerts and spend reporting require Cloud Billing budget configuration, which draws on billing account data. Cloud Monitoring is correct for alerting on latency or error rates, not for cost thresholds.
- ✓
Google Cloud Budgets & Alerts
Why this is correct
Google Cloud Budgets & Alerts scopes budgets to projects, folders, or labels, and triggers notifications when actual or forecast spend crosses thresholds. Labelling the Vertex AI endpoints lets the engineer isolate their prediction costs, satisfying the requirement to set budget alerts and monitor spending on those endpoints specifically.
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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.