CCAR-P Governance, Safety, and Risk Management Practice Question
Exhibit
{"system": "You are a helpful assistant.", "temperature": 0.7, "top_p": 0.9, "max_tokens": 1024, "safety_settings": {"harassment": "block_none", "hate_speech": "block_none"}}Refer to the exhibit. An audit of an Anthropic API configuration reveals the policy shown. What is the primary governance concern with this implementation?
⚠ Common exam trap
Candidates often focus on the 'performance' benefit of disabling filters (faster responses). They overlook that in an enterprise context, the legal and brand liability of unfiltered content is unacceptable.
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 safety settings expose the organization to content moderation and liability risks.
The configuration explicitly disables core safety filters for harassment and hate speech. In an enterprise context, this creates significant legal and brand risk. Governance frameworks mandate that safety guardrails remain enabled to protect the organization from generating or facilitating harmful content. By explicitly setting these to 'block_none', the organization bypasses essential protections that are designed to uphold safety standards and ethical AI usage requirements.
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 temperature setting is too high for professional administrative tasks.
Why it's wrong here
While a temperature of 0.7 is relatively high, it is not a primary governance concern compared to the explicit disabling of safety filters. Temperature impacts creativity and consistency, whereas safety filter configuration directly pertains to the legal and ethical liability of the organization using the model.
- ✓
The safety settings expose the organization to content moderation and liability risks.
Why this is correct
Disabling safety filters for harassment and hate speech ignores the responsibility to provide a safe AI environment. This exposure can lead to the generation of prohibited content, which the organization is legally responsible for, potentially resulting in severe regulatory scrutiny and damage to the corporate reputation.
- ✗
The max_tokens limit is too low, restricting the capability of the system.
Why it's wrong here
A max_tokens limit of 1024 is a performance configuration choice, not a risk management issue. While it may restrict the depth of the model's response, it does not create an inherent security or governance vulnerability, unlike the intentional removal of safety guardrails for harmful content.
- ✗
The system prompt is too generic, leading to poor model performance.
Why it's wrong here
A generic system prompt might affect the quality of the assistant's helpfulness, but it does not represent a governance or safety risk. The configuration of safety settings is a critical governance failure, whereas a poor system prompt is merely an optimization issue for the application.
About these practice questions
One of 262 original CCAR-P practice questions on Courseiva, each with a full explanation and wrong-answer analysis — not exam dumps or protected exam content. 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 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.