The most cost-effective combination is to perform the managed foundation-model customization through Amazon Bedrock and secure connectivity by using Amazon VPC and AWS PrivateLink .
AWS documentation states that when a Bedrock model-customization job is submitted, Amazon Bedrock accesses the designated training and validation data to fine-tune the selected foundation model. The customization operation is available programmatically through the Amazon Bedrock API.
For network isolation, AWS states: “Using a VPC protects your data” and recommends creating an interface endpoint with AWS PrivateLink so the data does not need to be available over the public internet.
AWS PrivateLink establishes private connectivity between resources in the VPC and Amazon Bedrock without routing application traffic through the public internet. For model customization, AWS supports supplying a VPC configuration containing appropriate subnets and security groups to protect access to training data.
AWS also documents that Bedrock fine-tuning data is used only for the customization process and is not used to train the underlying base model for unrelated customers. Training and validation data provided for fine-tuning is not retained by Bedrock after the job completes.
Option A would introduce unnecessary on-premises infrastructure and hardware costs. Fine-tuning supported Bedrock foundation models does not require deploying the entire service through AWS Outposts.
Option D is invalid because customers do not host the managed Amazon Bedrock service API on premises.
Option E provides monitoring and observability, but CloudWatch logging does not establish private network connectivity or isolate model-customization data.
Thus, Amazon Bedrock supplies the managed fine-tuning capability while VPC connectivity and AWS PrivateLink provide the private network path. This combination minimizes infrastructure management while satisfying the stated security requirement.
Therefore, the correct answers are B and C .
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