How can the Data Engineer ensure the data remains encrypted and the credit card information is secure?

A Data Engineer needs to build a model using a dataset containing customer credit card information

How can the Data Engineer ensure the data remains encrypted and the credit card information is secure?
A . Use a custom encryption algorithm to encrypt the data and store the data on an Amazon SageMaker instance in a VP
B . Use the SageMaker DeepAR algorithm to randomize the credit card numbers.
C . Use an IAM policy to encrypt the data on the Amazon S3 bucket and Amazon Kinesis to automatically discard credit card numbers and insert fake credit card numbers.
D . Use an Amazon SageMaker launch configuration to encrypt the data once it is copied to the SageMaker instance in a VP
E . Use the SageMaker principal component analysis (PCA) algorithm to reduce the length of the credit card numbers.
F . Use AWS KMS to encrypt the data on Amazon S3 and Amazon SageMaker, and redact the credit card numbers from the customer data with AWS Glue.

Answer: C

Explanation:

Reference: https://docs.aws.amazon.com/sagemaker/latest/dg/pca.html

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