CCAR-P Governance, Safety, and Risk Management Practice Question
An enterprise is deploying Claude for high-stakes financial analysis. Which TWO governance controls should be implemented to mitigate the risk of model hallucinations and ensure factual accuracy?
⚠ Common exam trap
Candidates rely solely on increasing model parameters or prompt length to fix hallucinations, ignoring architectural solutions required for factual grounding.
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
✓
Implement Retrieval-Augmented Generation (RAG) to ground responses in internal trusted knowledge bases.
Mitigating hallucination risk requires a multi-layered approach involving technical constraints and validation processes. Implementing robust Retrieval-Augmented Generation (RAG) grounds the model's responses in verified source documents, while secondary verification steps add a deterministic layer to the output. These controls are essential in financial services where incorrect data can lead to severe regulatory penalties, financial loss, and significant reputational damage to the organization.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Implement Retrieval-Augmented Generation (RAG) to ground responses in internal trusted knowledge bases.
Why this is correct
RAG limits the model's knowledge scope by forcing it to answer based on provided context rather than its internal training weights. This grounding technique significantly reduces the likelihood of fabrications, ensuring that financial analyses remain consistent with internal facts and corporate data standards.
- ✗
Increase the temperature parameter to 1.5 to maximize response creativity.
Why it's wrong here
High temperature settings increase the randomness of the model's output, which is counterproductive for high-stakes analysis. Increased randomness introduces greater instability and potential for hallucinated figures, directly undermining the accuracy and reliability required for financial decision-making processes within the enterprise environment.
- ✓
Utilize a secondary model or deterministic script to validate the factual consistency of completions.
Why this is correct
Using a secondary verification step adds a programmatic gatekeeper that inspects the output for logical errors or unsupported claims. This deterministic validation acts as a safety layer, catching potential hallucinations before the information is finalized for use in business-critical financial analysis reporting.
- ✗
Require human intervention for every prompt sent to the API to guarantee zero errors.
Why it's wrong here
Requiring human intervention for every prompt renders the automated AI solution non-scalable and impractical for high-volume financial workflows. Governance should focus on automated guardrails and exception-based manual review rather than forcing a human-in-the-loop requirement for every single interaction, which ruins operational efficiency.
- ✗
Disable all safety filters to allow the model to process complex financial jargon.
Why it's wrong here
Disabling safety filters removes critical guardrails that prevent the model from generating harmful, biased, or nonsensical content. This increases operational risk without providing a meaningful benefit to accuracy, as safety filters do not inherently prevent the model from understanding or processing complex financial terminology.
About these practice questions
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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.