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AIF-C01 · Question #93

A company has a foundation model (FM) that was customized by using Amazon Bedrock to answer customer queries about products. The company wants to validate the model's responses to new types of…

The correct answer is A. Amazon S3. Amazon S3 is the optimal choice for storing and uploading datasets used for machine learning model validation and training. It offers scalable, durable, and secure storage, making it ideal for holding datasets required by Amazon Bedrock for validation purposes.

Submitted by jakub_pl· Mar 30, 2026Data Storage for AI/ML Workloads

Question

A company has a foundation model (FM) that was customized by using Amazon Bedrock to answer customer queries about products. The company wants to validate the model's responses to new types of queries. The company needs to upload a new dataset that Amazon Bedrock can use for validation. Which AWS service meets these requirements?

Options

  • AAmazon S3
  • BAmazon Elastic Block Store (Amazon EBS)
  • CAmazon Elastic File System (Amazon EFS)
  • DAWS Snowcone

How the community answered

(34 responses)
  • A
    94% (32)
  • C
    3% (1)
  • D
    3% (1)

Explanation

Amazon S3 is the optimal choice for storing and uploading datasets used for machine learning model validation and training. It offers scalable, durable, and secure storage, making it ideal for holding datasets required by Amazon Bedrock for validation purposes.

Topics

#Amazon Bedrock#Amazon S3#Foundation Model Data#Model Validation

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