MLS-C01 · Question #257
An online retail company wants to develop a natural language processing (NLP) model to improve customer service. A machine learning (ML) specialist is setting up distributed training of a Bidirectiona
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Question
An online retail company wants to develop a natural language processing (NLP) model to improve customer service. A machine learning (ML) specialist is setting up distributed training of a Bidirectional Encoder Representations from Transformers (BERT) model on Amazon SageMaker. SageMaker will use eight compute instances for the distributed training. The ML specialist wants to ensure the security of the data during the distributed training. The data is stored in an Amazon S3 bucket. Which combination of steps should the ML specialist take to protect the data during the distributed training? (Choose three.)
Options
- ARun distributed training jobs in a private VPC. Enable inter-container traffic encryption.
- BRun distributed training jobs across multiple VPCs. Enable VPC peering.
- CCreate an S3 VPC endpoint. Then configure network routes, endpoint policies, and S3 bucket
- DGrant read-only access to SageMaker resources by using an IAM role.
- ECreate a NAT gateway. Assign an Elastic IP address for the NAT gateway.
- FConfigure an inbound rule to allow traffic from a security group that is associated with the training
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