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AI Models and Data EngineeringmediumMultiple ChoiceObjective-mapped

AI0-001 AI Models and Data Engineering Practice Question

During model deployment, a data engineer notices that the model's predictions are consistently lower than expected due to a shift in the distribution of one feature between training and production. Which technique should be used to detect and quantify this shift?

⚠ Common exam trap

CompTIA often tests the distinction between performance metrics (like RMSE or confusion matrix) and distribution monitoring metrics (like PSI), trapping candidates who confuse model accuracy evaluation with data drift detection.

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

Calculate the population stability index (PSI)

The Population Stability Index (PSI) is specifically designed to detect and quantify shifts in the distribution of a feature or score between two populations, such as training and production datasets. It measures the stability of the feature by comparing the proportion of observations in each bin across the two time periods, making it the correct choice for diagnosing distribution drift in model deployment.

Answer analysis

Option-by-option breakdown

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

  • Compute the root mean square error (RMSE)

    Why it's wrong here

    RMSE compares predicted vs actual values, not feature distribution shifts.

  • Calculate the population stability index (PSI)

    Why this is correct

    PSI quantifies the degree of distribution shift, commonly used in monitoring.

  • Generate a confusion matrix

    Why it's wrong here

    Confusion matrix evaluates classification accuracy, not feature drift.

  • Perform a t-test on the means

    Why it's wrong here

    T-test only checks mean difference, not overall distribution shift.

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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.