NCA-GENL Trustworthy AI Practice Question
A financial services firm deploys an LLM assistant that summarizes earnings calls for analysts. Legal requires that the firm be able to reconstruct, months later, exactly which model version and prompt template produced a given summary, and that any later model update not silently change historical outputs. Which practice best meets this requirement?
⚠ Common exam trap
The trap here is treating a vendor changelog or aggregate usage metrics as sufficient provenance, when only per-generation logging with pinned model versions supports true reconstruction.
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
✓
Log prompt text, model identifier, model version hash, decoding parameters, and a timestamp for every generation, and pin the model version used for each summary.
Reproducibility and change control require per-generation records that tie each summary to its prompt, model identity, decoding settings, and time, plus deliberate version pinning so later updates cannot rewrite history. Comprehensive logging plus pinned versions gives auditors the evidence chain they need. Aggregate metrics and public changelogs lack the granularity and control to reconstruct or stabilize individual outputs.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Store only the final generated summary text in the analyst-facing document repository.
Why it's wrong here
Keeping only the output discards the inputs and model identity needed to reproduce or audit the generation. If a regulator later asks how a figure was derived, the firm cannot show which prompt or model version was used. This practice also makes it impossible to detect whether a subsequent model update changed behavior for identical inputs. It satisfies neither the reconstruction nor the stability requirement.
- ✓
Log prompt text, model identifier, model version hash, decoding parameters, and a timestamp for every generation, and pin the model version used for each summary.
Why this is correct
Capturing prompt, model identity, version hash, decoding parameters, and timestamp creates an auditable record that supports later reconstruction. Pinning the model version per summary ensures a later update cannot retroactively alter what the system would produce for that same input. Together these practices give the firm both reproducibility and change control, which is precisely what the legal requirement demands for earnings-call summaries.
- ✗
Enable a monthly email digest that lists the total number of summaries generated per analyst.
Why it's wrong here
Aggregate usage counts provide no information about which model version or prompt produced any specific summary. They cannot support reconstruction of an individual output or prove that historical behavior remained stable across updates. Volume metrics are operational telemetry, useful for capacity planning, but they do not establish provenance or reproducibility. This option answers a different question than the audit requirement poses.
- ✗
Rely on the model provider's public changelog to determine which version was active on any given date.
Why it's wrong here
A vendor changelog describes releases at a coarse level and may not reflect the exact version serving a specific request, especially with rolling deployments or silent patches. It cannot associate a particular summary with the prompt and parameters that produced it. Auditors need per-generation evidence, not retrospective inference from release notes. This approach fails the reconstruction requirement and offers no control over silent behavior changes.
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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.