- A
Apply data anonymization techniques to the training dataset.
Anonymization removes personally identifiable information, ensuring that the model cannot output data linked to specific patients.
- B
Implement role-based access control (RBAC) on the AI model's inference API.
Why wrong: RBAC controls who can access the model, but it does not prevent the model from returning data from opt-out patients.
- C
Use differential privacy during model training.
Why wrong: Differential privacy reduces memorization but does not guarantee complete removal of specific patient data from model outputs.
- D
Encrypt the training data at rest and in transit.
Why wrong: Encryption protects data from unauthorized access but does not prevent the model from memorizing and outputting sensitive data.
AI0-001 AI Security, Ethics and Governance Practice Question
This AI0-001 practice question tests your understanding of ai security, ethics and governance. 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.
A healthcare organization deploys an AI system to analyze medical images and detect anomalies. During a routine audit, the security team discovers that the AI model occasionally returns results that include data from patients who have opted out of data sharing. Which security control should be implemented to prevent this violation?
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
Apply data anonymization techniques to the training dataset.
Option B is correct because data anonymization ensures that patient identities are removed from training data, preventing re-identification of opt-out patients. Option A is incorrect because access control does not address data already in the model. Option C is incorrect because encryption protects data in transit/rest but does not prevent data leakage from model outputs. Option D is incorrect because differential privacy adds noise to queries but does not directly remove specific patient data from model results.
Key principle: NAT direction and interface roles matter as much as the IP address mapping. Inside/outside designation controls which traffic is translated.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Apply data anonymization techniques to the training dataset.
Why this is correct
Anonymization removes personally identifiable information, ensuring that the model cannot output data linked to specific patients.
Related concept
Static NAT maps one inside address to one outside address.
- ✗
Implement role-based access control (RBAC) on the AI model's inference API.
Why it's wrong here
RBAC controls who can access the model, but it does not prevent the model from returning data from opt-out patients.
- ✗
Use differential privacy during model training.
Why it's wrong here
Differential privacy reduces memorization but does not guarantee complete removal of specific patient data from model outputs.
- ✗
Encrypt the training data at rest and in transit.
Why it's wrong here
Encryption protects data from unauthorized access but does not prevent the model from memorizing and outputting sensitive data.
Common exam traps
Common exam trap: NAT rules depend on direction and matching traffic
NAT is not only about the public address. The inside/outside interface roles and the ACL or rule that matches traffic are just as important.
Trap categories for this question
Command / output trap
Differential privacy reduces memorization but does not guarantee complete removal of specific patient data from model outputs.
Detailed technical explanation
How to think about this question
NAT questions usually test address translation, overload/PAT behaviour, static mappings and whether the right traffic is being translated. Read the interface direction and address terms carefully.
KKey Concepts to Remember
- Static NAT maps one inside address to one outside address.
- PAT allows many inside hosts to share one public address using ports.
- Inside local and inside global describe the private and translated addresses.
- NAT ACLs identify traffic for translation, not always security filtering.
TExam Day Tips
- Identify inside and outside interfaces first.
- Check whether the scenario needs static NAT, dynamic NAT or PAT.
- Do not confuse NAT matching ACLs with normal packet-filtering intent.
Key takeaway
NAT direction and interface roles matter as much as the IP address mapping. Inside/outside designation controls which traffic is translated.
Real-world example
How this comes up in practice
A small business has 20 workstations on the 192.168.1.0/24 network and one public IP from its ISP. The router uses PAT (NAT overload) so all 20 devices share one public address using different source ports. NAT questions test whether you understand the four address terms and which direction each translation applies.
What to study next
Got this wrong? Here's your next step.
Review the four NAT address types (inside local, inside global, outside local, outside global), PAT port overload, and static vs dynamic NAT use cases. Then practise related AI0-001 NAT questions on configuration and troubleshooting.
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FAQ
Questions learners often ask
What does this AI0-001 question test?
AI Security, Ethics and Governance — This question tests AI Security, Ethics and Governance — Static NAT maps one inside address to one outside address..
What is the correct answer to this question?
The correct answer is: Apply data anonymization techniques to the training dataset. — Option B is correct because data anonymization ensures that patient identities are removed from training data, preventing re-identification of opt-out patients. Option A is incorrect because access control does not address data already in the model. Option C is incorrect because encryption protects data in transit/rest but does not prevent data leakage from model outputs. Option D is incorrect because differential privacy adds noise to queries but does not directly remove specific patient data from model results.
What should I do if I get this AI0-001 question wrong?
Review the four NAT address types (inside local, inside global, outside local, outside global), PAT port overload, and static vs dynamic NAT use cases. Then practise related AI0-001 NAT questions on configuration and troubleshooting.
What is the key concept behind this question?
Static NAT maps one inside address to one outside address.
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Last reviewed: Jun 22, 2026
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