AI0-001 AI Security Practice Question
A company uses a third-party LLM API to power its customer support chatbot. To prevent prompt injection attacks, which defense is MOST effective at the application layer?
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
✓
Input validation and sanitization
Input validation and sanitization can strip or escape malicious instructions before they reach the LLM, preventing both direct and indirect prompt injection.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Differential privacy during training
Why it's wrong here
Differential privacy protects training data privacy, not inference-time injection.
- ✓
Input validation and sanitization
Why this is correct
Correct. Sanitizing inputs removes or neutralizes injection attempts.
- ✗
Rate limiting API calls
Why it's wrong here
Rate limiting prevents abuse but does not filter malicious prompts.
- ✗
Output filtering of model responses
Why it's wrong here
Output filtering catches harmful responses but does not prevent injection from occurring.
About these practice questions
Courseiva writes every AI0-001 question from scratch — 754 in total, each with an explanation and a wrong-answer breakdown. None are copied from real exams or dumps. Learn why practice questions differ from exam dumps →
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.