AWS Certified SysOps Administrator Practice Exam

What solution can help reduce costs when distributing a monthly 10TB data extract?

1. Keep using EFS for distribution but increase instance size

2. Store the files in S3 and distribute them using a CloudFront distribution

3. Use Amazon Glacier for cheaper storage

4. Implement a local cache mechanism to reduce EFS load

The correct answer is: Store the files in S3 and distribute them using a CloudFront distribution

Opting to store files in Amazon S3 and distribute them using a CloudFront distribution is an effective solution for reducing costs when distributing a large monthly data extract of 10TB. Amazon S3 is designed for high durability, availability, and cost-effective object storage. It can handle large amounts of data efficiently, and storing your data here minimizes the costs associated with traditional file systems like Elastic File System (EFS). S3 offers different classes of storage, e.g., Standard, Intelligent-Tiering, and even lower-cost options for infrequently accessed data, which can further optimize costs depending on usage patterns. Integrating CloudFront, which is Amazon's content delivery network (CDN), enhances the distribution of this data. By caching the data at edge locations, CloudFront reduces the latency for end-users while also lowering costs associated with data transfer from S3. This approach minimizes the number of requests made directly to the S3 bucket and can significantly decrease egress data transfer costs, especially when large datasets are involved. Using EFS alone, even with increased instance sizes, does not address the scalability and cost-efficiency needed for distributing 10TB of data, as EFS is generally more expensive for such large volumes and lacks the scalability of S