mediumMultiple ChoiceObjective-mapped
PDE Practice Question: Refer to the exhibit
Exhibit
{
"resource": {"type": "ai_platform_endpoint", "labels": {"endpoint_id": "123"}},
"severity": "ERROR",
"jsonPayload": {
"feature_name": "age",
"monitoring_type": "prediction_drift",
"drift_score": 0.85,
"threshold": 0.7
}
}Refer to the exhibit. This log entry was generated by Vertex AI Model Monitoring for a production model. What should the data engineer do to address this issue?
⚠ Common exam trap
Google Cloud often tests the misconception that adjusting thresholds or disabling monitoring is a valid fix for drift, when the correct action is always to retrain the model with current 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
✓
Retrain the model with more recent data
Vertex AI Model Monitoring detected a drift in the 'age' feature, indicating that the production data distribution has shifted from the training data. Retraining the model with more recent data aligns the model with the current data distribution, mitigating the drift and maintaining prediction accuracy. This is the standard remediation for model drift in production ML systems.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Increase the drift threshold to 0.9 to suppress alerts
Why it's wrong here
Masking the problem is not a solution.
- ✓
Retrain the model with more recent data
Why this is correct
Addresses the root cause by adapting to data shift.
- ✗
Deploy a new model version trained on the original dataset
Why it's wrong here
Original dataset does not reflect current data.
- ✗
Disable monitoring for the 'age' feature
Why it's wrong here
Removes visibility.
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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.