AWS Certified AI Practitioner AIF-C01 Practice Question
A startup will fine-tune a foundation model in Amazon SageMaker using confidential customer chat transcripts stored in Amazon S3. To follow AWS data governance and security best practices, which action should the company take before starting the training job?
Embed AWS access keys for the S3 bucket in the training script's environment variables to simplify access.
Copy the transcripts to an S3 bucket with public-read permissions so the training cluster can download them without credentials.
Attach an IAM role to the training job that allows read-only access only to the specific S3 paths containing the transcripts.
Convert the transcripts to unencrypted CSV files before uploading them to the training cluster for faster processing.
Granting the SageMaker training job an IAM role that has least-privilege, read-only permission to the exact Amazon S3 prefixes keeps sensitive data access tightly controlled. Public buckets expose the data, embedding long-term keys in code violates security guidance, and removing encryption weakens protection; none of these align with proper data governance for fine-tuning.
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AWS Certified AI Practitioner AIF-C01
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