AWS Certified Solutions Architect Associate SAA-C03 Practice Question
A scientific research institute needs to offload a large collection of genomic data sets from its on-premises servers to AWS. The data sets are seldom accessed, but when they are, a delay of several hours is acceptable. The institute requires a highly cost-effective solution for storing and retrieving these data sets, with a strong focus on minimizing storage costs. What method represents the MOST cost-optimized approach to store this data?
Leverage S3 Intelligent-Tiering to automatically optimize costs between frequent and infrequent access tiers for the data sets.
Store the genomic data sets using the S3 Glacier Deep Archive storage class after initial upload completion.
Utilize the Hadoop Distributed File System (HDFS) on Amazon EMR with occasional syncing to S3 for the data sets not actively in use.
Implement a Storage Gateway with stored volumes to gradually move the data sets into Amazon S3 over a direct connection.
Opting for the S3 Glacier or S3 Glacier Deep Archive storage class is ideal for rarely accessed data that can tolerate retrieval times of several hours, with Deep Archive being the most cost-effective for data that needs to be stored for a decade or longer. Additionally, utilizing the Hadoop Distributed File System (HDFS) on Amazon EMR for infrequent access is incorrect as EMR is a compute optimized service, not a storage service, and would lead to higher costs due to ongoing compute charges. The use of Storage Gateway for storing directly into S3 would introduce unnecessary costs and complexity for a one-time migration need.
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