AWS Certified Solutions Architect Associate SAA-C03 Practice Question
A company is looking to establish a data lake on AWS in order to store and analyze their disparate datasets which come in at varying frequencies and sizes. They want to ensure that the data remains secure both at rest and in transit, and that the solution can accommodate future increases in data volume. Which of the following options fulfills these requirements?
Use Amazon S3 with encryption enabled and IAM policies for secure, scalable object storage.
Deploy an Amazon RDS instance with a read replica to act as a central repository for the data lake.
Store data on Amazon EBS volumes attached to EC2 instances to benefit from volume encryption and direct control.
Use Amazon EFS with lifecycle management policies to store and secure data lake files.
Amazon S3 is the correct choice because it is designed to store and retrieve any amount of data, at any time, from anywhere on the web, making it an excellent foundation for a secure and scalable data lake. Amazon S3 offers comprehensive security and compliance capabilities that can help meet even the most stringent regulatory requirements. For data at rest, S3 provides encryption features such as SSE-S3, SSE-C, and SSE-KMS, ensuring data is encrypted automatically when saved to the data lake. For data in transit, it uses HTTPS to secure data as it travels over the internet. Its scalability ensures that as the company's data grows, S3 can handle the increase in storage demand without the need for manual intervention. The other options do not offer the same level of security, scalability, or are not designed for data lake operations.
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