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AI Models and Data EngineeringmediumMultiple SelectObjective-mapped

AI0-001 AI Models and Data Engineering Practice Question

A computer vision team is building an image classifier for rare wildlife species. The dataset has only 500 images per class, and the model overfits. Which THREE data augmentation techniques are most likely to reduce overfitting? (Choose three.)

⚠ Common exam trap

CompTIA often tests the distinction between augmentations that preserve class labels (like flips and rotations) versus those that may alter semantic content (like extreme cropping or noise), leading candidates to overestimate the effectiveness of Gaussian noise for overfitting reduction.

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

Horizontal flip

Horizontal flip is a simple and effective data augmentation technique that doubles the training data by mirroring images, which helps the model generalize better to variations in orientation. This is particularly useful for wildlife images where the animal may appear facing left or right, reducing overfitting by exposing the model to more diverse examples without collecting new data.

Answer analysis

Option-by-option breakdown

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

  • Horizontal flip

    Why this is correct

    Flipping is a standard augmentation that doubles the dataset size.

  • Adding Gaussian noise

    Why it's wrong here

    Noise can help but is less common than geometric and color augmentations.

  • Random cropping

    Why it's wrong here

    Cropping can help but may cut out important features; not always best.

  • Color jitter (brightness, contrast, saturation)

    Why this is correct

    Color jitter simulates varying lighting conditions, improving robustness.

  • Random rotation by ±10 degrees

    Why this is correct

    Rotation creates new perspectives and is a safe augmentation.

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Written by Johnson Ajibi, MSc IT Security

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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.