Answer: Model Customization (Fine-tuning) in Amazon Bedrock

**Explanation:** Amazon Bedrock's Model Customization (Fine-tuning) capability allows organizations to fine-tune foundation models on their proprietary data. This enables: 1. **Domain-specific adaptation** - The e-commerce platform can adapt the Amazon Titan model to understand its specific product catalog 2. **Tone and style customization** - The model can be trained to match the platform's brand voice and communication style 3. **Proprietary data utilization** - The platform can use its own customer data, product descriptions, and historical interactions 4. **Improved accuracy** - Fine-tuning helps the model perform better on domain-specific tasks **Why other options are incorrect:** - **B) Guardrails for Bedrock**: This is for content safety and filtering, not for fine-tuning models - **C) Continued pretraining**: This refers to further training a model on general data, not proprietary fine-tuning - **D) Knowledge Bases**: This is for connecting models to external data sources through RAG (Retrieval Augmented Generation), not for fine-tuning the model itself

Author: Jin H