- A
Using a smaller model to reduce query cost
Why wrong: Smaller model does not prevent extraction; it may even be easier to steal.
- B
Encrypting model weights at rest
Why wrong: Encryption protects stored model, not API-based extraction.
- C
Adding random noise to all outputs
Why wrong: Output noise can degrade extraction but also hurts legitimate users; rate limiting is more direct.
- D
Rate limiting on the API endpoint
Rate limiting slows down extraction attempts by capping query volume.
Question 160 of 1,000
AI0-001 AI Security Practice Question
This AI0-001 practice question tests your understanding of ai security. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
An ML team wants to prevent attackers from stealing a proprietary model by repeatedly querying the public API. Which defense is most effective?
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
✓
Rate limiting on the API endpoint
Option D is correct because rate limiting restricts the number of API requests a single client can make within a given time window, directly impeding an attacker's ability to collect enough query-response pairs to reconstruct or steal the model. This defense targets the attack vector itself—repeated queries—without degrading model performance for legitimate users. Techniques like token bucket or sliding window rate limiting are commonly implemented at the API gateway level.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Using a smaller model to reduce query cost
Why it's wrong here
Smaller model does not prevent extraction; it may even be easier to steal.
- ✗
Encrypting model weights at rest
Why it's wrong here
Encryption protects stored model, not API-based extraction.
- ✗
Adding random noise to all outputs
Why it's wrong here
Output noise can degrade extraction but also hurts legitimate users; rate limiting is more direct.
- ✓
Rate limiting on the API endpoint
Why this is correct
Rate limiting slows down extraction attempts by capping query volume.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Cisco often tests the misconception that encryption or obfuscation of model artifacts is sufficient to prevent extraction attacks, when in fact the primary threat is from live API queries that bypass those protections.
Trap categories for this question
Command / output trap
Output noise can degrade extraction but also hurts legitimate users; rate limiting is more direct.
Detailed technical explanation
How to think about this question
Model extraction attacks, such as those described in the 'Knockoff Nets' or 'Stealing Machine Learning Models via Prediction APIs' papers, rely on collecting many input-output pairs to train a substitute model. Rate limiting counters this by capping queries per IP or API key, often using algorithms like the Generic Cell Rate Algorithm (GCRA) or sliding window counters. In practice, combining rate limiting with anomaly detection (e.g., detecting unusually high query volumes for similar inputs) provides stronger protection, as seen in cloud ML services like AWS SageMaker or Google Cloud AI Platform.
KKey Concepts to Remember
- Read the scenario before looking for a memorised answer.
- Find the constraint that changes the correct option.
- Eliminate answers that are true in general but not in this case.
TExam Day Tips
- Watch for words such as best, first, most likely and least administrative effort.
- Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A practitioner preparing for the AI0-001 exam encounters this exact type of scenario on the job. The correct answer here is not the most general option — it is the best answer for the specific constraint described. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Real exam questions reward reading the full scenario before eliminating options, because the constraint defines which answer fits.
What to study next
Got this wrong? Here's your next step.
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FAQ
Questions learners often ask
What does this AI0-001 question test?
AI Security — This question tests AI Security — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Rate limiting on the API endpoint — Option D is correct because rate limiting restricts the number of API requests a single client can make within a given time window, directly impeding an attacker's ability to collect enough query-response pairs to reconstruct or steal the model. This defense targets the attack vector itself—repeated queries—without degrading model performance for legitimate users. Techniques like token bucket or sliding window rate limiting are commonly implemented at the API gateway level.
What should I do if I get this AI0-001 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
About these practice questions
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Last reviewed: Jul 4, 2026
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.
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