Company A operates in Country X, Company A maintains a large dataset of historical purchase orders that contains personal data of their customers in the form of full names and telephone numbers. The dataset consists of 5 text files. 1TB each. Currently the dataset resides on- premises due to legal requirements of storing personal data in-country. The research and development department need to run a clustering algorithm on the dataset and wants to use Elastic Map Reduce service in the closes AWS region. Due to geographic distance the minimum latency between the on-premises system and the closet AWS region is 200 ms.
Which option allows Company A to do clustering in the AWS Cloud and meet the legal requirement of maintaining personal data in-country?
A . Anonymize the personal data portions of the dataset and transfer the data files into Amazon S3 in the AWS region. Have the EMR cluster read the dataset using EMRF
C . Establishing a Direct Connect link between the on-premises system and the AWS region to reduce latency. Have the EMR cluster read the data directly from the on-premises storage system over Direct Connect.
D . Encrypt the data files according to encryption standards of Country X and store them in AWS region in Amazon S3. Have the EMR cluster read the dataset using EMRF
F . Use AWS Import/Export Snowball device to securely transfer the data to the AWS region and copy the files onto an EBS volume. Have the EMR cluster read the dataset using EMRF
Answer: B