DEA-C01 Question 163
Single answerA data engineering team is tasked with building a scalable data lake for storing and analyzing both structured and unstructured data. The solution must support high durability, low cost for infrequent access, and integration with AWS analytics services like Amazon Athena. Which AWS storage platform is the most suitable for this use case?
- A
Amazon S3
- B
Amazon RDS
- C
Amazon EFS
- D
Amazon DynamoDB
Show answer and explanation
Correct answer: A
Explanation
Amazon S3 is the most appropriate choice for a scalable data lake solution, as it supports a wide variety of data types (structured and unstructured), provides multiple storage classes for cost optimization, and integrates seamlessly with analytics services like Amazon Athena. The other options are better suited for specific use cases (e.g., relational databases, file storage, or NoSQL workloads) and do not meet the requirements for this scenario.
- A. Correct.
Amazon S3 is highly suitable for building data lakes as it supports both structured and unstructured data, offers high durability, cost-effective storage tiers for infrequent access (e.g., S3 Standard-IA), and integrates seamlessly with AWS analytics services like Amazon Athena.
- B. Incorrect.
Amazon RDS is a relational database service optimized for structured data and transactional workloads. It is not designed for storing unstructured data or serving as a data lake.
- C. Incorrect.
Amazon EFS is a file storage service for use with EC2 instances. While it supports shared file storage, it is not optimized for cost-effective large-scale storage of structured and unstructured data.
- D. Incorrect.
Amazon DynamoDB is a NoSQL database service designed for key-value and document-based workloads. It is not suitable for a data lake use case, as it does not natively support unstructured data or integration with analytics services like Amazon Athena.