Question 460 of 754
AI0-001 AI Implementation and Operations Practice Question
Which TWO actions are most appropriate for managing model drift in a production AI system?
⚠ Common exam trap
CompTIA often tests the distinction between reactive fixes (like rollback) and proactive, automated strategies (like monitoring and retraining), tricking candidates into choosing rollback as a valid long-term drift management action.
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
✓
Periodically retrain the model on recent data
Periodically retraining the model on recent data is a fundamental strategy to combat model drift, ensuring the model adapts to changes in the underlying data distribution (e.g., concept drift or covariate shift). This aligns with MLOps best practices for maintaining model accuracy over time in production AI 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.
- ✗
Freeze the model to prevent any changes
Why it's wrong here
Freezing the model would ignore drift and degrade performance.
- ✗
Roll back to a previous model version if performance degrades
Why it's wrong here
Rollback is a reactive measure, not a proactive management strategy.
- ✓
Periodically retrain the model on recent data
Why this is correct
Regular retraining helps the model adapt to new patterns.
- ✗
Manually review all model predictions
Why it's wrong here
Manual review is not scalable or efficient for drift management.
- ✓
Implement automated monitoring to detect drift indicators
Why this is correct
Automated monitoring enables early detection of drift.
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Last reviewed: Jun 30, 2026
This AI0-001 practice question is part of Courseiva's free CompTIA 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 AI0-001 exam.
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