- A
Use a system-level prompt that clearly defines allowed behavior and boundaries
A strong system prompt sets context and restricts the model from following malicious instructions.
- B
Set temperature to 0.0 for all queries
Why wrong: Temperature affects randomness, not security; injection can still occur.
- C
Allow the model to execute any code from user prompts for flexibility
Why wrong: This is highly dangerous and increases injection risk.
- D
Implement a separate classifier to detect and block injection attempts
An injection detection classifier adds a layer of defense before the LLM processes the input.
- E
Sanitize user inputs to remove special tokens or injection patterns
Input sanitization prevents attackers from embedding injection payloads.
AI0-001 AI Concepts and Techniques Practice Question
This AI0-001 practice question tests your understanding of ai concepts and techniques. 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 deploying an LLM-powered application that answers questions based on internal documents. They want to minimize prompt injection attacks where users trick the model into ignoring instructions. Which THREE measures should they implement? (Select THREE)
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue:
"minimum / minimize"Why it matters: Asks for the least resource use — fewest addresses, smallest subnet, lowest overhead. Eliminate over-provisioned options even if they would technically work.
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
Use a system-level prompt that clearly defines allowed behavior and boundaries
A is correct because a system-level prompt establishes a foundational instruction set that defines the model's allowed behavior and boundaries. This acts as a first line of defense by explicitly instructing the model to ignore any user attempts to override its core directives, thereby reducing the risk of prompt injection attacks.
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.
- ✓
Use a system-level prompt that clearly defines allowed behavior and boundaries
Why this is correct
A strong system prompt sets context and restricts the model from following malicious instructions.
Clue confirmation
The clue word "minimum / minimize" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Set temperature to 0.0 for all queries
Why it's wrong here
Temperature affects randomness, not security; injection can still occur.
- ✗
Allow the model to execute any code from user prompts for flexibility
Why it's wrong here
This is highly dangerous and increases injection risk.
- ✓
Implement a separate classifier to detect and block injection attempts
Why this is correct
An injection detection classifier adds a layer of defense before the LLM processes the input.
Clue confirmation
The clue word "minimum / minimize" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
- ✓
Sanitize user inputs to remove special tokens or injection patterns
Why this is correct
Input sanitization prevents attackers from embedding injection payloads.
Clue confirmation
The clue word "minimum / minimize" in the question point toward this answer.
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 reducing model temperature or randomness can mitigate security threats, when in fact temperature only affects output creativity, not instruction adherence or input safety.
Detailed technical explanation
How to think about this question
Prompt injection exploits the model's inability to distinguish between system-level instructions and user-provided input. A robust defense uses a separate classifier (e.g., a fine-tuned BERT or regex-based filter) to detect and block known injection patterns, while input sanitization strips or escapes special tokens (like 'ignore previous instructions') before they reach the model. In practice, combining these three measures creates a layered defense that significantly raises the bar for attackers.
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.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
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FAQ
Questions learners often ask
What does this AI0-001 question test?
AI Concepts and Techniques — This question tests AI Concepts and Techniques — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Use a system-level prompt that clearly defines allowed behavior and boundaries — A is correct because a system-level prompt establishes a foundational instruction set that defines the model's allowed behavior and boundaries. This acts as a first line of defense by explicitly instructing the model to ignore any user attempts to override its core directives, thereby reducing the risk of prompt injection attacks.
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.
Are there clue words in this question I should notice?
Yes — watch for: "minimum / minimize". Asks for the least resource use — fewest addresses, smallest subnet, lowest overhead. Eliminate over-provisioned options even if they would technically work.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
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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