- A
Implementing access controls on the training dataset
Access controls restrict who can modify the training data, reducing the risk of poisoning.
- B
Validating the integrity of training data
Data validation detects anomalies or malicious modifications in the dataset.
- C
Using a larger model
Why wrong: Model size does not prevent data poisoning.
- D
Increasing training epochs
Why wrong: More epochs may cause overfitting but do not prevent poisoning.
- E
Using homomorphic encryption
Why wrong: Homomorphic encryption protects data during computation but does not prevent poisoning of the dataset itself.
Question 114 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.
A company is training a model on proprietary data and wants to prevent data poisoning. Which TWO practices are most important? (Select TWO.)
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
✓
Implementing access controls on the training dataset
Implementing access controls on the training dataset (Option A) is critical because it restricts who can read, modify, or delete the data, thereby preventing unauthorized actors from injecting malicious samples. This is a fundamental security measure to protect the integrity of the training pipeline against data poisoning attacks. Validating the integrity of training data (Option B) ensures that the data has not been tampered with, for example by using checksums or cryptographic hashes, which directly counters poisoning attempts that rely on corrupted input.
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.
- ✓
Implementing access controls on the training dataset
Why this is correct
Access controls restrict who can modify the training data, reducing the risk of poisoning.
Related concept
Read the scenario before looking for a memorised answer.
- ✓
Validating the integrity of training data
Why this is correct
Data validation detects anomalies or malicious modifications in the dataset.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Using a larger model
Why it's wrong here
Model size does not prevent data poisoning.
- ✗
Increasing training epochs
Why it's wrong here
More epochs may cause overfitting but do not prevent poisoning.
- ✗
Using homomorphic encryption
Why it's wrong here
Homomorphic encryption protects data during computation but does not prevent poisoning of the dataset itself.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Cisco often tests the distinction between security controls that prevent attacks (access controls, integrity validation) versus performance tuning (model size, epochs) or privacy techniques (homomorphic encryption), leading candidates to confuse data poisoning prevention with unrelated optimizations.
Detailed technical explanation
How to think about this question
Data poisoning attacks often involve subtle perturbations or label flipping that evade simple validation, so integrity checks should include cryptographic signatures (e.g., HMAC-SHA256) and provenance tracking via tools like MLflow or DVC. In practice, access controls should follow the principle of least privilege, using role-based access control (RBAC) with audit logs to detect unauthorized modifications. A real-world scenario is the 2020 Microsoft Tay chatbot incident, where lack of input validation and access controls allowed users to poison the training data with offensive content.
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: Implementing access controls on the training dataset — Implementing access controls on the training dataset (Option A) is critical because it restricts who can read, modify, or delete the data, thereby preventing unauthorized actors from injecting malicious samples. This is a fundamental security measure to protect the integrity of the training pipeline against data poisoning attacks. Validating the integrity of training data (Option B) ensures that the data has not been tampered with, for example by using checksums or cryptographic hashes, which directly counters poisoning attempts that rely on corrupted input.
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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