DEA-C01 Question 226
Select 2A company is designing a data storage strategy for a new analytics platform. The platform handles two types of data: (1) frequently accessed, high-performance data used for real-time analytics, and (2) older, infrequently accessed data that must be retained for compliance purposes but does not require high-performance storage. Which combination of storage solutions is the most appropriate to address both hot and cold data requirements while minimizing costs?
- A
Amazon S3 Standard for hot data and Amazon S3 Glacier Deep Archive for cold data
- B
Amazon EBS Provisioned IOPS SSD (io2) for hot data and Amazon S3 Glacier for cold data
- C
Amazon Redshift with dense storage nodes for hot data and Amazon S3 Glacier for cold data
- D
Amazon S3 Intelligent-Tiering for hot data and Amazon S3 Glacier Deep Archive for cold data
- E
Amazon DynamoDB for hot data and Amazon S3 for cold data
Show answer and explanation
Correct answers: A, D
Explanation
The correct answers are combinations that effectively meet the requirements for both hot and cold data while minimizing costs. Amazon S3 Standard and Amazon S3 Glacier Deep Archive provide a cost-effective solution for frequently accessed and long-term infrequently accessed data, respectively. Similarly, Amazon S3 Intelligent-Tiering offers dynamic cost optimization for hot data, and coupling it with S3 Glacier Deep Archive for cold data ensures an efficient and scalable storage strategy.
- A. Correct.
Amazon S3 Standard is optimized for frequently accessed data, providing high availability and low latency, which is suitable for hot data. Amazon S3 Glacier Deep Archive is designed for long-term, infrequently accessed data at the lowest cost, making it ideal for cold data.
- B. Incorrect.
Amazon EBS Provisioned IOPS SSD (io2) is a high-performance block storage solution suitable for extremely high-throughput applications but is cost-prohibitive for large-scale data analytics. While S3 Glacier is a good choice for cold data, this combination is not cost-effective for the scenario.
- C. Incorrect.
Amazon Redshift with dense storage nodes is designed for data warehousing use cases and is not an optimal solution for real-time analytics or frequently accessed storage. While S3 Glacier is suitable for cold data, this combination does not address the hot data requirements efficiently.
- D. Correct.
Amazon S3 Intelligent-Tiering automatically moves data between access tiers based on access patterns, providing cost savings for hot data. Pairing it with S3 Glacier Deep Archive for cold data ensures an effective and cost-efficient storage solution.
- E. Incorrect.
Amazon DynamoDB is a NoSQL database optimized for low-latency, high-throughput applications, but it is not a storage solution for analytics data. While S3 can be used for cold data, this combination does not address the requirements for both hot and cold data effectively.