Domain 5·14% of exam·27 concepts
Governance, Safety & Risk Management
Put guardrails and human-in-the-loop controls around Claude systems, identify LLM risks and failure modes, ensure regulatory compliance, and address ethical AI considerations.
5.1
Implement guardrails and safety controls
- ccarp-5.1.1Training-Time Alignment vs Inference-Time Control
- ccarp-5.1.2The Three-Point Guarded Request Path
- ccarp-5.1.3Model-Based vs Deterministic Check Selection
- ccarp-5.1.4Fail-Open vs Fail-Closed Design
- ccarp-5.1.5Indirect Injection via Retrieved Content and Tool Output
- ccarp-5.1.6Skill Supply-Chain Auditing
5.2
Identify risks, limitations, and failure modes of LLM systems
5.3
Apply human-in-the-loop validation strategies
5.4
Ensure compliance with regulations (e.g., GDPR, HIPAA, FedRAMP)
5.5