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AI0-001 AI Governance and Ethics Practice Question

A company is training a large language model from scratch and wants to minimise its environmental impact. Which practice aligns with green AI principles?

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

Use model pruning and train on a smaller, representative dataset

Green AI advocates for resource-efficient AI, including using smaller models, pruning, and efficient architectures to reduce carbon footprint. Training larger models with more data increases environmental impact, not reduces it.

Answer analysis

Option-by-option breakdown

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

  • Use model pruning and train on a smaller, representative dataset

    Why this is correct

    Pruning reduces model size and computational cost; training on a smaller dataset also lowers energy consumption, aligning with green AI.

  • Use more GPUs to parallelise training and reduce wall-clock time

    Why it's wrong here

    More GPUs can increase total energy consumption even if wall-clock time decreases, not necessarily greener.

  • Deploy the model on a cloud provider with renewable energy certificates

    Why it's wrong here

    While using renewable energy is beneficial, it does not reduce the total energy consumed; green AI focuses on efficiency first.

  • Train the model on a larger dataset to improve accuracy

    Why it's wrong here

    Larger datasets require more compute and energy, increasing carbon footprint, contrary to green AI.

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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.