AIF-C01 · Question #164
A company wants to fine-tune an ML model that is hosted on Amazon Bedrock. The company wants to use its own sensitive data that is stored in private databases in a VPC. The data needs to stay within…
The correct answer is C. Use AWS PrivateLink to connect the VPC and Amazon Bedrock. The company wants to fine-tune an ML model on Amazon Bedrock using sensitive data stored in private databases within a VPC, ensuring the data remains within its private network. AWS PrivateLink provides a secure, private connection between a VPC and AWS services like Amazon…
Question
A company wants to fine-tune an ML model that is hosted on Amazon Bedrock. The company wants to use its own sensitive data that is stored in private databases in a VPC. The data needs to stay within the company's private network. Which solution will meet these requirements?
Options
- ARestrict access to Amazon Bedrock by using an AWS Identity and Access Management (IAM)
- BRestrict access to Amazon Bedrock by using an AWS Identity and Access Management (IAM)
- CUse AWS PrivateLink to connect the VPC and Amazon Bedrock.
- DUse AWS Key Management Service (AWS KMS) keys to encrypt the data.
How the community answered
(38 responses)- A5% (2)
- B13% (5)
- C79% (30)
- D3% (1)
Explanation
The company wants to fine-tune an ML model on Amazon Bedrock using sensitive data stored in private databases within a VPC, ensuring the data remains within its private network. AWS PrivateLink provides a secure, private connection between a VPC and AWS services like Amazon Bedrock, allowing data to stay within the company's network without traversing the public internet. This meets the requirement for maintaining data privacy during fine-tuning. AWS PrivateLink enables you to securely connect your VPC to Amazon Bedrock without exposing data to the public internet. This is particularly useful for fine-tuning models with sensitive data, as it ensures that data remains within your private network.
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