AI0-001 AI Concepts and Foundations Practice Question
A hospital wants an AI system to review chest X-ray images and flag those that may show pneumonia, but a radiologist will make the final diagnosis. The IT team must classify this system for documentation. Which category of AI best describes this deployment?
⚠ Common exam trap
Test-takers frequently confuse a learning method such as supervised learning with a capability category such as narrow AI.
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
✓
Narrow AI
The system performs one bounded task—identifying possible pneumonia in chest X-rays—so it is narrow AI. General AI implies human-level breadth across many domains, supervised learning describes how a model is trained rather than what the system is, and reactive machine is an outdated capability category that does not fit a trained deep learning model.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Supervised learning
Why it's wrong here
Supervised learning is a training method that uses labeled examples, not a category of AI capability. The question asks how to classify the deployment itself, and the radiologist-in-the-loop workflow and single imaging task point to narrow AI rather than a learning paradigm.
- ✗
General AI
Why it's wrong here
General AI, or strong AI, would match human capability across many unrelated tasks and reason flexibly like a person. A pneumonia detector only classifies chest images; it cannot write reports, hold conversations, or transfer its skill to other medical domains, so it is not general AI.
- ✗
Reactive machine
Why it's wrong here
Reactive machines are an older classification of AI that respond to current input without memory or learned models. Modern pneumonia detectors are trained neural networks, so describing the deployment as a reactive machine misstates both its architecture and its capability level.
- ✓
Narrow AI
Why this is correct
Narrow AI, also called weak AI, is designed to perform a specific task within a limited domain. Flagging possible pneumonia on chest X-rays is a single, well-defined classification task, so the system falls squarely into narrow AI even though it uses deep learning and achieves high accuracy.
About these practice questions
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JA
Written and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed September 2026 · checked against the official CompTIA exam blueprint
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.