AI0-001 AI Governance and Ethics Practice Question
A startup is training a large language model and wants to reduce its environmental impact. Which TWO practices are considered green AI?
⚠ Common exam trap
CompTIA often tests the misconception that maximizing hardware utilization (e.g., large batch sizes or datasets) is inherently green, when in fact green AI focuses on minimizing total energy consumption and carbon emissions, not just throughput or utilization metrics.
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 energy-efficient hardware (e.g., TPUs)
Using energy-efficient hardware such as Tensor Processing Units (TPUs) or specialized AI accelerators reduces the power consumption per floating-point operation, directly lowering the carbon footprint of training large language models. This aligns with green AI principles by optimizing the energy-to-performance ratio.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Train on the largest possible dataset
Why it's wrong here
Larger datasets increase training time and energy use.
- ✓
Use energy-efficient hardware (e.g., TPUs)
Why this is correct
Energy-efficient hardware reduces power consumption.
- ✗
Use redundant backup servers
Why it's wrong here
Redundant servers increase energy consumption without contributing to efficiency.
- ✗
Increase batch size to maximum
Why it's wrong here
Larger batch sizes may improve throughput but can increase peak power draw.
- ✓
Optimize model architecture for lower computational cost
Why this is correct
Smaller or more efficient models require less energy to train.
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.