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Your organization is implementing a new machine learning pipeline that uses AWS SageMaker for model training and Amazon S3 for data storage. The pipeline processes highly sensitive research data. Describe how you would implement a logging strategy for both SageMaker and S3 to ensure that all model training operations and data access are logged, and the logs are stored securely and can be easily accessed for auditing purposes.
A
Use AWS CloudTrail for SageMaker API calls and Amazon CloudWatch Logs for S3 access logs.
B
Use Amazon CloudWatch Logs for SageMaker logs and AWS X-Ray for S3 traces.
C
Use Amazon S3 for storing SageMaker logs and AWS Config for S3 configuration logs.
D
Use AWS Config for SageMaker configuration logs and Amazon CloudWatch Logs for S3 logs.