AI0-001 AI Security Practice Question
A security analyst discovers that an attacker has been querying a production LLM API with thousands of carefully crafted prompts and using the responses to build a local copy of the model. Which attack is occurring?
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
✓
Model extraction
Model extraction attacks involve querying a model to reconstruct its functionality or parameters. Membership inference determines if data was in training, data poisoning corrupts training, and prompt injection manipulates prompts.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Prompt injection
Why it's wrong here
Prompt injection manipulates the LLM's output, not extraction of the model itself.
- ✓
Model extraction
Why this is correct
Model extraction uses queries to approximate the model's behavior and steal its functionality.
- ✗
Data poisoning
Why it's wrong here
Data poisons training data, not extraction via querying.
- ✗
Membership inference
Why it's wrong here
Membership inference determines if a data point was in the training set, not stealing the model.
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.