CCAR-P Governance, Safety, and Risk Management Practice Question
When conducting a risk assessment for a new Claude-based customer support bot, which TWO factors should be prioritized as 'High Risk' according to Anthropic's safety guidelines?
⚠ Common exam trap
Candidates incorrectly classify creative content generation or standard administrative summarization tasks as high-risk, confusing routine utility with high-stakes automated decision-making.
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
✓
Providing automated, unreviewed medical or legal advice.
Identifying high-risk scenarios is a core part of an architect's role in safety governance. Applications that involve high-stakes decision-making or have the potential to cause physical or financial harm require more stringent guardrails, human oversight, and rigorous red-teaming compared to low-stakes creative or administrative tasks.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Providing automated, unreviewed medical or legal advice.
Why this is correct
Medical and legal domains are considered high-risk because incorrect information can lead to severe personal harm or legal liability. Anthropic's safety guidelines emphasize that AI should not replace professional judgment in these areas without significant human-in-the-loop oversight and clear disclaimers to the end-user.
- ✗
Generating personalized marketing copy for a retail website.
Why it's wrong here
Marketing copy generation is generally considered a low-risk application of AI. While it requires quality control for brand alignment, the potential for causing significant harm or violating fundamental safety principles is minimal compared to regulated fields like healthcare or finance.
- ✗
Summarizing publicly available news articles for internal research.
Why it's wrong here
Summarization of public data is a standard, low-risk use case. The primary risk is hallucination, which can be managed with grounding techniques. It does not involve the sensitive personal data or high-stakes outcomes that characterize high-risk AI deployments.
- ✓
Automated processing of loan applications without human review.
Why this is correct
Automated financial decision-making can lead to systemic bias and unfair outcomes, which are major governance concerns. Such systems must be carefully audited for fairness and transparency, and typically require a human to make the final determination to comply with financial regulations and ethical standards.
- ✗
Translating internal training manuals into multiple languages.
Why it's wrong here
Language translation is a productivity-enhancing task that carries low safety risk. While accuracy is important for the quality of the training, it does not typically involve the legal, safety, or ethical complexities found in high-risk categories like medical diagnostics or automated law enforcement.
About these practice questions
Courseiva writes every CCAR-P question from scratch — 262 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 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.