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PDE Practice Question: After deploying a model, the team notices that…
After deploying a model, the team notices that predictions are significantly different from training data distribution. What should they do?
⚠ Common exam trap
Google Cloud often tests the distinction between reactive troubleshooting (reviewing pipelines, retraining) and proactive monitoring (skew detection), tempting candidates to choose a fix like retraining instead of the monitoring solution that detects the issue first.
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
✓
Set up Vertex AI Model Monitoring for skew detection
Vertex AI Model Monitoring is specifically designed to detect skew between training data and serving data, including prediction drift. When predictions differ significantly from the training distribution, this indicates a skew or drift issue that Model Monitoring can alert on, enabling proactive investigation. Updating the endpoint or retraining without diagnosis would not address the root cause, and reviewing the pipeline alone does not provide ongoing detection.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Update the model endpoint
Why it's wrong here
Updating the endpoint does not address data drift.
- ✗
Review the training data pipeline
Why it's wrong here
Reviewing is good, but monitoring should be implemented first to get baseline data.
- ✓
Set up Vertex AI Model Monitoring for skew detection
Why this is correct
Model Monitoring provides continuous tracking of distribution differences.
- ✗
Retrain the model with new data
Why it's wrong here
Retraining without understanding the drift may not solve the problem.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This PDE 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 PDE exam.