AI0-001 AI Governance and Ethics Practice Question
A health system wants to deploy an AI triage tool that analyzes patient symptoms and vital signs to prioritize emergency department patients. Before deployment, the governance committee must determine whether the tool qualifies as a high-risk AI system under the EU AI Act. Which factor is MOST determinative of that classification?
⚠ Common exam trap
The trap here is assuming that technical characteristics such as dataset size or model architecture determine high-risk classification, rather than the intended purpose and potential impact on health, safety, or fundamental rights.
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
✓
Whether the AI tool is used to make decisions that could significantly affect a patient's health, safety, or fundamental rights
High-risk classification under the EU AI Act hinges on the intended purpose and the severity of potential impact on health, safety, or fundamental rights. A triage tool that influences emergency care decisions can directly affect patient health, so it falls into the high-risk category regardless of data size, architecture, or deployment 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.
- ✗
Whether the tool is deployed on-premises or through a cloud service
Why it's wrong here
Deployment location does not determine high-risk status. A cloud-hosted triage tool and an on-premises one with the same intended purpose carry the same regulatory classification. The Act evaluates the function and context of the AI system, not its hosting environment.
- ✗
Whether the AI model was trained on a dataset containing more than 100,000 patient records
Why it's wrong here
Dataset size alone does not determine high-risk classification. A model trained on millions of records for non-critical purposes can remain low risk, while a small model used for emergency triage can be high risk. The Act focuses on the context of use and potential harm, not the volume of training data.
- ✗
Whether the AI tool uses a deep learning architecture rather than a rules-based system
Why it's wrong here
The choice of architecture is not the determining factor under the EU AI Act. Both deep learning and rules-based systems can be high risk if their intended purpose falls within a regulated area. Governance focuses on the use case and potential impact, not on the underlying technical method.
- ✓
Whether the AI tool is used to make decisions that could significantly affect a patient's health, safety, or fundamental rights
Why this is correct
Under the EU AI Act, high-risk classification is tied to the intended purpose and the significance of the impact on health, safety, or fundamental rights. A triage tool that prioritizes emergency patients directly affects health outcomes, so its risk level is determined by that impact rather than by the vendor's marketing claims or the model architecture.
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.