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AI0-001 Machine Learning and Deep Learning Practice Question

A company deploys a machine learning model that makes predictions on streaming data. Over time, the data distribution shifts, causing model performance to degrade. Which monitoring strategy is most appropriate to detect this drift?

⚠ Common exam trap

CompTIA often tests the distinction between monitoring for drift (which requires tracking performance on a fixed baseline) versus retraining or comparing input distributions, leading candidates to mistakenly choose Option A or C.

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

✓

Track the model's accuracy on a fixed validation set over time

Tracking the model's accuracy on a fixed validation set over time directly measures performance degradation caused by data drift. As the streaming data distribution shifts, the model's predictions on the static validation set will become less accurate, providing a clear signal that drift has occurred. This is a standard monitoring approach in production ML systems for detecting concept drift.

Answer analysis

Option-by-option breakdown

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

  • ✗

    Compare the distribution of predictions to the training set

    Why it's wrong here

    Prediction distribution comparison can indicate shift but is less reliable than performance metrics.

  • ✗

    Monitor the model's training loss

    Why it's wrong here

    Training loss can stay low even if the underlying data distribution changes.

  • ✗

    Retrain the model daily on new data

    Why it's wrong here

    Retraining is a remedy, not a monitoring method for detecting drift.

  • ✓

    Track the model's accuracy on a fixed validation set over time

    Why this is correct

    Accuracy drop on a static validation set indicates concept drift.

About these practice questions

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JA

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.