AI0-001 AI Security, Ethics and Governance Practice Question
A team is deploying an AI model that predicts patient readmission risk. The model was trained on data from three hospitals but will be used in a fourth hospital with different patient demographics. What is the most important security risk to assess?
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
✓
Adversarial attacks that cause misclassification
Using a model on data from a different distribution (population shift) can degrade performance, but from a security perspective, the main risk is adversarial attacks that exploit the model's unfamiliarity with new data. Model inversion and poisoning are training-time attacks; data breach is an operational risk but not specific to this scenario.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Data poisoning during training
Why it's wrong here
Data poisoning would have occurred before deployment; this scenario focuses on deployment in a new environment.
- ✓
Adversarial attacks that cause misclassification
Why this is correct
The shift in demographics can make the model more vulnerable to adversarial examples that cause incorrect readmission predictions.
- ✗
Model inversion to extract patient data
Why it's wrong here
Model inversion is a privacy risk but not directly related to distribution shift.
- ✗
Data breach of the inference API
Why it's wrong here
Data breach is a general security concern, not specific to the model's generalization challenge.
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.