AWS Certified Cloud Practitioner
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An e-commerce platform wants to adapt an Amazon Titan model for its own product catalog and tone of voice. Which Bedrock capability allows fine-tuning a model on proprietary data?
Real Exam
Community
RRitesh
A
Model Customization (Fine-tuning) in Amazon Bedrock
B
Guardrails for Bedrock
C
Continued pretraining
D
Knowledge Bases
Explanation:
Explanation:
Amazon Bedrock's Model Customization (Fine-tuning) capability allows organizations to fine-tune foundation models like Amazon Titan on their proprietary data. This enables customization of the model's behavior, tone, and knowledge to specific business needs.
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Option A (Model Customization/Fine-tuning): Correct. This is the specific Bedrock feature that enables fine-tuning models on proprietary data.
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Option B (Guardrails for Bedrock): Incorrect. Guardrails are for implementing safety controls and content filtering, not for model fine-tuning.
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Option C (Continued pretraining): Incorrect. This is a different machine learning concept where models are further trained on general data, not proprietary customization.
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Option D (Knowledge Bases): Incorrect. Knowledge Bases allow models to retrieve information from external data sources, but don't involve fine-tuning the model itself.
For the e-commerce platform's use case of adapting Amazon Titan for their product catalog and tone of voice, Model Customization (Fine-tuning) is the appropriate Bedrock capability.
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