CCAR-P Governance, Safety, and Risk Management Practice Question
A media company uses Claude through the Anthropic API to draft articles. Legal counsel asks the platform team to demonstrate that every published draft can be traced to the exact model behavior that produced it, even after Anthropic deprecates older models. The team currently calls the alias claude-sonnet-4-5. Which change best satisfies counsel's requirement?
⚠ Common exam trap
The trap here is treating a model alias as a stable version identifier, when aliases are deliberately repointed to newer builds and therefore cannot anchor an evidentiary record.
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
✓
Pin requests to a dated model snapshot identifier and archive the full request parameters and response with each draft.
Traceability to a specific model behavior requires two things: an immutable model identifier and a durable record of the exact input and output. A dated snapshot pins behavior so it can be reproduced or referenced after deprecation, while archiving request parameters and responses preserves the actual interaction. Aliases, caching, and sampling settings modify cost, latency, or variance but none of them establish which model version produced a given published artifact.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Increase max_tokens and set temperature to zero so outputs become deterministic.
Why it's wrong here
Setting temperature to zero reduces sampling variance but does not make a hosted model bit-for-bit deterministic, since hardware, batching, and model updates still introduce drift. It also does nothing to identify which model version produced a prior draft. The requirement is traceability to a specific model behavior over time, and sampling parameters cannot supply that identity or survive a deprecation event.
- ✓
Pin requests to a dated model snapshot identifier and archive the full request parameters and response with each draft.
Why this is correct
A dated snapshot identifier names an immutable model version, so a stored request can be replayed against the same behavior later instead of silently moving to a newer build. Archiving the complete request parameters and the returned response closes the loop, because it captures both the exact input and the output that was published. Together they give counsel a reproducible record that survives alias updates and routine model refreshes.
- ✗
Log the alias string claude-sonnet-4-5 alongside each draft in the content management system.
Why it's wrong here
An alias is a moving pointer: when Anthropic promotes a newer build, the same alias resolves to different behavior, so the log entry no longer describes what actually generated the draft. Recording it creates an illusion of provenance without reproducibility. Counsel needs an identifier that continues to denote the same model, which an alias by design does not provide.
- ✗
Enable prompt caching so identical requests return consistent outputs across model updates.
Why it's wrong here
Prompt caching reduces latency and cost by reusing processed prefix content within a short cache lifetime; it does not freeze model behavior across versions. Once the cache expires or the model is updated, outputs can differ, and the cache leaves no durable artifact that legal could inspect. It addresses performance economics, not evidentiary traceability, so it cannot demonstrate which model behavior produced a published draft.
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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 Anthropic exam blueprint
This CCAR-P practice question is part of Courseiva's free Anthropic 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 CCAR-P exam.