SAP-C02 Question 308
Select 3A company is building a new data lake on AWS to store and analyze large volumes of structured and unstructured data. The solution should support cost-effective storage for infrequently accessed data, allow lifecycle management, and provide integration with analytics services such as Amazon Athena. Which combination of AWS storage services should the company use to meet these requirements?
- A
Amazon S3 with S3 Intelligent-Tiering
- B
Amazon S3 Glacier Deep Archive
- C
Amazon EBS Provisioned IOPS SSD (io2)
- D
Amazon FSx for Lustre
- E
Amazon S3 Lifecycle Policies
Show answer and explanation
Correct answers: A, B, E
Explanation
The best solution for a data lake is to use Amazon S3 with S3 Intelligent-Tiering for cost optimization and flexibility, Amazon S3 Glacier Deep Archive for storing infrequently accessed data at a low cost, and Amazon S3 Lifecycle Policies to automate transitions between storage tiers and manage object retention. These services collectively meet the requirements for cost-effectiveness, lifecycle management, and integration with analytics tools like Athena.
- A. Correct.
Amazon S3 with S3 Intelligent-Tiering is ideal for data lakes because it automatically moves data between storage tiers based on access patterns, optimizing costs for infrequently accessed data.
- B. Correct.
Amazon S3 Glacier Deep Archive provides extremely low-cost storage for long-term data retention, which is suitable for storing infrequently accessed data in a data lake.
- C. Incorrect.
Amazon EBS Provisioned IOPS SSD (io2) is designed for high-performance block storage, such as databases or latency-sensitive workloads, and is not cost-effective or suitable for a data lake.
- D. Incorrect.
Amazon FSx for Lustre is optimized for high-performance file systems, commonly used in HPC or machine learning workloads, but it is not necessary for general-purpose data lake storage and analytics.
- E. Correct.
Amazon S3 Lifecycle Policies allow for automated tiering and deletion of objects, which is essential for managing the cost and lifecycle of data in a data lake.