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AI Concepts and FoundationshardMultiple ChoiceObjective-mapped

AI0-001 AI Concepts and Foundations Practice Question

An AI team notices that their model's performance degrades over time because the statistical relationship between input features and the target variable changes. This issue is called:

⚠ Common exam trap

CompTIA often tests the distinction between data drift and concept drift, where candidates mistakenly choose data drift because they focus on the input features changing, rather than the relationship between features and the target.

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

Concept drift

Concept drift occurs when the statistical relationship between input features and the target variable changes over time, causing model performance to degrade. This is distinct from data drift, which involves changes in the input data distribution alone. In the AI0-001 context, concept drift directly addresses the shift in the underlying mapping from features to labels.

Answer analysis

Option-by-option breakdown

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

  • Data drift

    Why it's wrong here

    Incorrect; data drift refers to changes in input distribution, not the relationship.

  • Overfitting

    Why it's wrong here

    Incorrect; overfitting is about training vs. generalization, not time-based shifts.

  • Concept drift

    Why this is correct

    Correct; concept drift describes changes in the mapping from inputs to outputs.

  • Model drift

    Why it's wrong here

    Incorrect; model drift is a general term for performance decay, not specific to relationship changes.

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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.