PMLE Monitoring ML Solutions Practice Question
A data scientist has deployed a model with Vertex AI Endpoints and enabled request/response logging to BigQuery. They want to compute a confusion matrix over time to monitor model quality. What should they do?
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
✓
Upload ground truth labels to BigQuery and join with prediction logs, then compute confusion matrix in a scheduled query
To compute a confusion matrix, ground truth labels are needed. The team can upload ground truth labels to BigQuery and join with prediction logs to compare predictions vs actuals.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Use Vertex AI Model Monitoring to automatically generate confusion matrices
Why it's wrong here
Model Monitoring does not compute confusion matrices; it monitors skew and drift.
- ✗
Use Cloud Monitoring to create a confusion matrix dashboard
Why it's wrong here
Cloud Monitoring does not have built-in confusion matrix generation.
- ✓
Upload ground truth labels to BigQuery and join with prediction logs, then compute confusion matrix in a scheduled query
Why this is correct
Correct: This is the standard approach for model quality monitoring.
- ✗
Enable Vertex AI Explainability to get confusion matrix
Why it's wrong here
Explainability provides feature attributions, not confusion matrices.
Go deeper
Related to this question
About these practice questions
One of 990 original PMLE practice questions on Courseiva, each with a full explanation and wrong-answer analysis — not exam dumps or protected exam content. Learn why practice questions differ from exam dumps →
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.