PMLE Monitoring ML Solutions Practice Question
An ML engineer needs to monitor the error rate of prediction jobs on a Vertex AI Endpoint. Where can they view the number of failed prediction requests over time?
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
Vertex AI Endpoint metrics are integrated with Cloud Monitoring. Specific metrics like 'predictions/failed_count' can be viewed in Cloud Monitoring dashboards.
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 Monitoring
Why this is correct
Correct: Cloud Monitoring provides metrics and alerts for endpoint predictions.
- ✗
Cloud Console endpoint details page
Why it's wrong here
The console shows basic stats but not historical error rate over time.
- ✗
Vertex AI Experiments
Why it's wrong here
Experiments track training runs, not production errors.
- ✗
Cloud Logging
Why it's wrong here
Logging shows logs, not aggregated metrics by default.
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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.