DEA-C01 Question 165
Select 2You are designing a data lake for your organization to store and analyze a large volume of structured, semi-structured, and unstructured data. The data must support fast querying for analytics, cost-effectiveness for infrequent access, and scalable storage. Which AWS storage platform or combination of platforms should you choose?
- A
Amazon S3 with S3 Glacier for infrequent access data
- B
Amazon EBS volumes for data lake storage
- C
Amazon Redshift for storing all data types
- D
Amazon S3 with S3 Intelligent-Tiering for optimizing storage costs
- E
Amazon DynamoDB for storing semi-structured data
Show answer and explanation
Correct answers: A, D
Explanation
Amazon S3 is the most suitable platform for a data lake because it can store structured, semi-structured, and unstructured data at scale. Combining S3 with S3 Glacier or S3 Intelligent-Tiering helps optimize storage costs, especially for infrequently accessed data. Other options like EBS and DynamoDB are not designed for scalable data lake storage, while Amazon Redshift is a data warehouse solution not suited for unstructured data.
- A. Correct.
Amazon S3 is ideal for a data lake because it provides scalable, durable, and cost-effective storage for structured, semi-structured, and unstructured data. S3 Glacier can be used for archiving infrequently accessed data at a lower cost.
- B. Incorrect.
Amazon EBS is a block storage service designed for low-latency applications and is not suitable for scalable, cost-effective data lake storage.
- C. Incorrect.
Amazon Redshift is a data warehouse solution designed for structured data analytics and is not suitable for storing all data types in a data lake.
- D. Correct.
Amazon S3 with S3 Intelligent-Tiering automatically moves data between storage tiers based on access patterns, optimizing costs without sacrificing performance. This is ideal for a data lake with varying access patterns.
- E. Incorrect.
Amazon DynamoDB is a NoSQL database designed for low-latency access to semi-structured data but is not suitable for data lake storage across all data types.