A healthcare company creates a custom foundation model (FM) that uses a proprietary architecture to...

Option B is correct under current AWS capabilities. Amazon Bedrock Custom Model Import accepts specified supported model architectures; it is not a mechanism for importing an arbitrary proprietary architecture. SageMaker inference supports bringing a custom container, making it appropriate when custom model architecture or inference code must be preserved. Amazon Bedrock Guardrails can be applied independently of Bedrock-hosted foundation models through the ApplyGuardrail API, including to output from third-party or externally hosted models. Contextual grounding checks calculate grounding and relevance scores and can block responses below configured thresholds, directly addressing hallucination detection. Options A and C incorrectly use ordinary content filters for grounding and relevance, which are separate contextual-grounding capabilities. Option D incorrectly assigns contextual-grounding functionality to AWS HealthScribe rather than Amazon Bedrock Guardrails. AWS Documentation

================