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AI Implementation and OperationseasyMultiple ChoiceObjective-mapped

AI0-001 AI Implementation and Operations Practice Question

A data science team deployed a model for real-time predictions. After two weeks, the model's accuracy dropped from 92% to 80%. The monitoring system shows no data drift in features, but the target variable distribution has shifted. Which approach should the team use to detect this issue?

⚠ Common exam trap

CompTIA often tests the distinction between data drift and concept drift, trapping candidates who assume that monitoring input features (Option D) is sufficient to detect all performance degradation.

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

Monitor the distribution of the predicted target variable over time

Monitoring the distribution of the predicted target variable directly detects concept drift, which occurs when the relationship between features and the target changes. Since the monitoring system shows no data drift in features, the accuracy drop is likely due to a shift in the target variable's distribution, and tracking predictions over time reveals this shift. This approach aligns with MLOps best practices for detecting concept drift without requiring immediate retraining.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • Schedule manual weekly reviews of model predictions

    Why it's wrong here

    Manual reviews are not scalable or proactive.

  • Monitor the distribution of the predicted target variable over time

    Why this is correct

    This detects target drift, which indicates concept drift.

  • Retrain the model immediately with new data

    Why it's wrong here

    Retraining without detection may not address the drift cause.

  • Monitor input feature distributions using a KS test

    Why it's wrong here

    This detects data drift, not concept drift.

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Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

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.