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A company stores sensitive customer data in an Amazon DynamoDB table.

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A company stores sensitive customer data in an Amazon DynamoDB table. The company frequently updates the data. The company wants to use the data to personalize offers for customers.

The company's analytics team has its own AWS account. The analytics team runs an application on Amazon EC2 instances that needs to process data from the DynamoDB tables. The company needs to follow security best practices to create a process to regularly share data from DynamoDB to the analytics team.

Which solution will meet these requirements?

A.

Export the required data from the DynamoDB table to an Amazon S3 bucket as multiple JSON files. Provide the analytics team with the necessary IAM permissions to access the S3 bucket.

B.

Allow public access to the DynamoDB table. Create an IAM user that has permission to access DynamoDB. Share the IAM user with the analytics team.

C.

Allow public access to the DynamoDB table. Create an IAM user that has read-only permission for DynamoDB. Share the IAM user with the analytics team.

D.

Create a cross-account IAM role. Create an IAM policy that allows the AWS account ID of the analytics team to access the DynamoDB table. Attach the IAM policy to the IAM role. Establish a trust relationship between accounts.

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