AI0-001 AI Concepts and Techniques Practice Question
Which of the following is a key characteristic of Narrow AI (Weak AI)?
⚠ Common exam trap
CompTIA often tests the distinction between Narrow AI and AGI, and the trap here is that candidates confuse 'narrow' with 'limited performance' rather than understanding it means 'restricted to a single task domain'.
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
✓
It is designed to excel at a single, specific task
Narrow AI, also known as Weak AI, is designed and trained to perform a single, specific task with high proficiency, such as language translation, image recognition, or playing chess. It cannot generalize its intelligence to other domains, which distinguishes it from Artificial General Intelligence (AGI). Option C correctly captures this fundamental characteristic.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
It can perform any intellectual task that a human can
Why it's wrong here
That describes Artificial General Intelligence, which matches human capability across any intellectual task. Narrow AI performs one specific task or a limited domain. The option tempts because AGI is the aspirational goal often discussed alongside narrow AI, but the question asks specifically about weak AI's defining limitation.
- ✗
It requires no training data
Why it's wrong here
Narrow AI is defined by task-specific scope, not by data requirements; every machine learning model, narrow or otherwise, is trained on data. The option inverts this. It tempts candidates who associate AI with rule-based systems needing no examples, but such systems are expert systems, not trained narrow models.
- ✓
It is designed to excel at a single, specific task
Why this is correct
Narrow AI is engineered to perform one specific task, such as image classification or speech recognition, within a bounded domain. This matches the stem's characteristic, distinguishing it from general AI, which would transfer reasoning across unrelated tasks.
- ✗
It surpasses human intelligence in all domains
Why it's wrong here
Surpassing humans in all domains defines Artificial Superintelligence, a hypothetical stage beyond AGI. Narrow AI exceeds human performance only within its single trained task, such as image classification. The option tempts because narrow AI already beats humans at specific tasks, but the word 'all' makes the claim false.
About these practice questions
This AI0-001 question is part of Courseiva's 962-question bank — original exam-style content with full explanations and wrong-answer analysis, never real exam questions or exam dumps. Learn why practice questions differ from exam dumps →
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.