NCA-GENL Trustworthy AI Practice Question
Exhibit
2023-10-27 10:15:02 [WARNING] Toxicity score detected: 0.85 2023-10-27 10:15:02 [ACTION] Request blocked by policy: 'safety_strict' 2023-10-27 10:15:03 [DEBUG] Response: 'I cannot fulfill this request.'
Refer to the exhibit. Which concept of Trustworthy AI is primarily demonstrated by the actions shown in the CLI output?
⚠ Common exam trap
Candidates often mistake content moderation logs for model performance metrics. They focus on the 'toxicity score' value rather than the broader concept of system safety and robustness.
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
✓
Safety and Robustness.
The logs demonstrate 'Safety and Robustness' through active content moderation. By identifying a toxicity score above the acceptable threshold and programmatically blocking the response, the system prevents the dissemination of harmful content. This is a core requirement of Trustworthy AI, ensuring that models operate within defined safety guardrails and actively mitigate the risk of harmful output generation, even when triggered by user input.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Model Explainability.
Why it's wrong here
Explainability would involve the system providing the specific reason or logic behind why a response was blocked, not just the fact that it was blocked. While the log shows a 'safety_strict' action, it does not provide an interpretative breakdown of the model's decision-making process or internal weights.
- ✗
Data Privacy.
Why it's wrong here
Data privacy focuses on protecting PII and sensitive user information. This log entry reflects a content safety policy regarding toxicity, not a data leakage event or a privacy-related sanitization process. It is a content-moderation action, which is distinct from the protection of user identity or sensitive personal data.
- ✓
Safety and Robustness.
Why this is correct
The system successfully detects harmful content and executes a safety protocol to prevent it from reaching the user. This demonstrates that the model is robust against generating toxic content and adheres to predefined safety standards, which are fundamental components of maintaining a trustworthy and harmless generative AI system.
- ✗
Algorithmic Efficiency.
Why it's wrong here
Efficiency metrics would focus on latency, GPU utilization, or token throughput. The log shows a security intervention, not an optimization or performance metric. While preventing toxic output is necessary, it is a quality and safety concern, not a measure of how efficiently the model utilizes hardware resources during inference.
About these practice questions
Courseiva writes every NCA-GENL question from scratch — 367 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 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.