A Company Is Designing a Data Processing Platform to Process

Multiple Choice

A company is designing a data processing platform to process a large number of files in an Amazon S3 bucket and store the results in Amazon DynamoDB. These files will be processed once and must be retained for 1 year. The company wants to ensure that the original files and resulting data are highly available in multiple AWS Regions. Which solution will meet these requirements?

A) Create an S3 CreateObject event notification to copy the file to Amazon Elastic Block Store (Amazon EBS) . Use AWS DataSync to sync the files between EBS volumes in multiple Regions. Use an Amazon EC2 Auto Scaling group in multiple Regions to attach the EBS volumes. Process the files and store the results in a DynamoDB global table in multiple Regions. Configure the S3 bucket with an S3 Lifecycle policy to move the files to S3 Glacier after 1 year.
B) Create an S3 CreateObject event notification to copy the file to Amazon Elastic File System (Amazon EFS) . Use AWS DataSync to sync the files between EFS volumes in multiple Regions. Use an AWS Lambda function to process the EFS files and store the results in a DynamoDB global table in multiple Regions. Configure the S3 buckets with an S3 Lifecycle policy to move the files to S3 Glacier after 1 year.
C) Copy the files to an S3 bucket in another Region by using cross-Region replication. Create an S3 CreateObject event notification on the original bucket to push S3 file paths into Amazon EventBridge (Amazon CloudWatch Events) . Use an AWS Lambda function to poll EventBridge (CloudWatch Events) to process each file and store the results in a DynamoDB table in each Region. Configure both S3 buckets to use the S3 Standard-Infrequent Access (S3 Standard-IA) storage class and an S3 Lifecycle policy to delete the files after 1 year.
D) Copy the files to an S3 bucket in another Region by using cross-Region replication. Create an S3 CreateObject event notification on the original bucket to execute an AWS Lambda function to process each file and store the results in a DynamoDB global table in multiple Regions. Configure both S3 buckets to use the S3 Standard-Infrequent Access (S3 Standard-IA) storage class and an S3 Lifecycle policy to delete the files after 1 year.