NCA-GENL Trustworthy AI Practice Question
Exhibit
{
"model_guard": {
"pii_redaction": true,
"toxicity_filter": {
"threshold": 0.85,
"action": "block"
},
"topic_whitelisting": ["tech", "science"]
}
}Refer to the exhibit. A developer implements this NVIDIA NeMo Guardrails configuration. A user submits a query about financial advice. What is the expected behavior of the LLM?
⚠ Common exam trap
Candidates assume the model will generate a 'refusal' message based on internal safety alignment, forgetting that NeMo Guardrails explicitly intercepts and blocks the input before it reaches the LLM.
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
✓
The guardrail blocks the request because finance is not in the whitelist.
The configured guardrail includes topic whitelisting, which restricts the model to only discussing 'tech' and 'science'. When the user submits a financial query, the system identifies the topic mismatch. Since the policy does not explicitly allow financial topics, the guardrail intercepts the input, preventing the model from generating a response. This proactive filtering is a key component of trustworthy AI, ensuring models operate within predefined domain boundaries.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
The model generates a generic response about finance using its internal knowledge.
Why it's wrong here
The guardrail configuration explicitly defines a whitelist of allowed topics. Financial queries fall outside the 'tech' and 'science' categories defined in the policy. Therefore, the guardrail logic triggers a rejection before the request is processed by the model, preventing unauthorized domain traversal and potentially unsafe advice.
- ✓
The guardrail blocks the request because finance is not in the whitelist.
Why this is correct
The policy enforces strict topic control using the whitelisting mechanism. Because 'finance' is not included in the allowed list, the guardrail system recognizes an out-of-scope intent and blocks the query. This prevents the model from attempting to provide financial guidance, which is essential for risk mitigation and compliance.
- ✗
The system processes the request because the toxicity score is below 0.85.
Why it's wrong here
Toxicity filtering and topic whitelisting are independent security layers. Even if a query is non-toxic, it must still pass the domain-specific whitelist check. The model will only generate a response if both the toxicity filter and the topic whitelist requirements are satisfied by the input query.
- ✗
The model prompts the user to clarify if the finance query is related to technology.
Why it's wrong here
The provided configuration does not include logic for user clarification or re-prompting. The guardrail is configured to restrict topics; it is not a conversational agent designed to negotiate intent. If the input violates the domain whitelist, the standard behavior is to block the interaction to maintain safety.
About these practice questions
This NCA-GENL question is part of Courseiva's 367-question bank — original exam-style content with full explanations and wrong-answer analysis, never real exam questions or exam dumps. Learn why practice questions differ from exam dumps →
JA
Written and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed September 2026 · checked against the official NVIDIA exam blueprint
This NCA-GENL practice question is part of Courseiva's free NVIDIA 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 NCA-GENL exam.