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Answer: Amazon EMR, consider enabling data encryption at rest and in transit, and using IAM roles for fine-grained access control.
Option A is the most appropriate choice for this scenario. Amazon EMR is a managed Hadoop and Spark service that can handle large-scale data processing tasks. To ensure data security during the transformation process, you should enable data encryption at rest using AWS KMS or Amazon S3 encryption, and enable data encryption in transit using TLS. Additionally, you can use IAM roles for fine-grained access control to the EMR cluster and its resources. By following these best practices, you can ensure the confidentiality, integrity, and availability of your data during the transformation process.
Author: LeetQuiz Editorial Team
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Your company is planning to implement a data transformation service that can handle large-scale data processing tasks with a focus on data security. Which AWS service would you recommend, and what are the key considerations for ensuring data security during the transformation process?
A
Amazon EMR, consider enabling data encryption at rest and in transit, and using IAM roles for fine-grained access control.
B
Amazon ECS, consider using AWS Secrets Manager to store and manage sensitive data, and implementing container security best practices.
C
AWS Lambda, consider using AWS Key Management Service (KMS) for data encryption, and configuring Lambda function permissions and execution roles correctly.
D
Amazon EKS, consider using network policies and pod security policies to enforce security controls, and implementing data encryption and access control mechanisms.
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