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Answer: Implement a multi-tiered storage strategy using Amazon S3, with hot data stored in S3 Standard and cold data stored in S3 Glacier.
Option B is the correct approach. Amazon S3 offers a range of storage classes that are optimized for different access patterns and data lifecycle stages. S3 Standard is suitable for hot data that requires high performance and frequent access, while S3 Glacier is designed for cold data that is infrequently accessed but needs to be retained for long periods. By implementing a multi-tiered storage strategy, you can optimize costs by storing data in the most cost-effective storage class based on its access frequency and lifecycle stage.
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Your company is dealing with a large volume of data that includes both frequently accessed (hot) and infrequently accessed (cold) data. As an AWS Certified Data Engineer, you are tasked with designing a storage solution that optimizes for cost and performance. Describe how you would approach this task, including the selection of appropriate storage solutions, cost optimization strategies, and data lifecycle management.
A
Use Amazon S3 for all data, as it is the most cost-effective solution.
B
Implement a multi-tiered storage strategy using Amazon S3, with hot data stored in S3 Standard and cold data stored in S3 Glacier.
C
Store all data in Amazon EBS for high performance, regardless of access frequency.
D
Use Amazon RDS for all data storage needs, as it provides built-in data protection and availability.