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AIF-C01 · Question #225

A company wants to fine-tune a foundation model (FM) by using AWS services. The company needs to ensure that its data stays private, safe, and secure in the source AWS Region where the data is…

The correct answer is B. Use the Amazon Bedrock API. C. Use AWS PrivateLink and a VPC. Use the Amazon Bedrock API: You’ll call Bedrock’s managed fine-tuning endpoints directly in your AWS Region, so your data never leaves that region. Use AWS PrivateLink and a VPC: Front Bedrock API traffic through a VPC endpoint via PrivateLink to keep all network traffic on the…

Submitted by tunde_lagos· Mar 30, 2026Securing and Optimizing AI/ML Workloads

Question

A company wants to fine-tune a foundation model (FM) by using AWS services. The company needs to ensure that its data stays private, safe, and secure in the source AWS Region where the data is stored. Which combination of steps will meet these requirements MOST cost-effectively? (Choose two.)

Options

  • AHost the model on premises by using AWS Outposts.
  • BUse the Amazon Bedrock API.
  • CUse AWS PrivateLink and a VPC.
  • DHost the Amazon Bedrock API on premises.
  • EUse Amazon CloudWatch logs and metrics.

How the community answered

(19 responses)
  • A
    21% (4)
  • B
    58% (11)
  • D
    11% (2)
  • E
    11% (2)

Explanation

Use the Amazon Bedrock API: You’ll call Bedrock’s managed fine-tuning endpoints directly in your AWS Region, so your data never leaves that region. Use AWS PrivateLink and a VPC: Front Bedrock API traffic through a VPC endpoint via PrivateLink to keep all network traffic on the AWS backbone and within your account’s private

Topics

#Amazon Bedrock#Data privacy#AWS PrivateLink#Cost optimization

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