CCAR-P Governance, Safety, and Risk Management Practice Question
Which governance risk is most directly mitigated by using 'Versioned' model identifiers (e.g., 'claude-3-5-sonnet-20240620') instead of the generic 'claude-3-5-sonnet' alias in production?
⚠ Common exam trap
Candidates frequently confuse 'model drift' with 'latency' or 'cost'. While versioning affects consistency, its primary governance purpose is preventing unexpected behavioral changes that could break downstream application logic.
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 risk of 'Model Drift' where behavior changes unexpectedly after an update.
Model versioning is a critical practice for ensuring the stability and predictability of AI applications. Using a specific versioned identifier prevents 'model drift', where updates to the underlying model could change its behavior, safety profile, or output format, potentially breaking production workflows or governance checks.
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 risk of exceeding the monthly API budget due to unexpected usage.
Why it's wrong here
Budgeting is managed through usage limits and monitoring, not through model versioning. Whether you use a versioned or aliased model, the cost per token is typically the same for that model family, so versioning does not provide a mechanism for financial cost control.
- ✗
The risk of a 'Man-in-the-Middle' attack intercepting the API key.
Why it's wrong here
Security against interception is handled by Transport Layer Security (TLS) and proper key management. Model versioning is about the software lifecycle of the AI model itself and has no impact on the encryption or security of the communication channel between the client and server.
- ✓
The risk of 'Model Drift' where behavior changes unexpectedly after an update.
Why this is correct
When Anthropic updates a model alias to point to a newer version, the model's nuances can change. By pinning to a specific versioned identifier, architects ensure that the model behaves exactly as it did during the testing and validation phase, maintaining consistent safety and performance.
- ✗
The risk of data residency violations in the US-EAST-1 region.
Why it's wrong here
Data residency is determined by the physical endpoint (the URL) and the cloud provider's regional configuration, not the name of the model version being called. You can call a versioned model from any supported region, so versioning does not solve geographic compliance issues.
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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.