DEA-C01 Question 57
Select 3A company is building a data analytics platform on AWS to process data with high volume, velocity, and variety. The data includes transactional logs, social media feeds, and images. Which combination of AWS services is the most suitable for efficiently handling these requirements?
- A
Amazon Kinesis Data Streams for ingesting high-velocity data
- B
Amazon S3 for storing structured and unstructured data
- C
Amazon RDS for storing all incoming data
- D
AWS Glue for data transformation and cataloging
- E
Amazon Redshift for analyzing unstructured image data
Show answer and explanation
Correct answers: A, B, D
Explanation
Handling data with high volume, velocity, and variety requires a combination of services that can ingest, store, and process diverse data types efficiently. Amazon Kinesis Data Streams is ideal for real-time, high-velocity data ingestion, while Amazon S3 provides scalable storage for structured and unstructured data. AWS Glue offers the necessary tools for transforming and cataloging data for downstream analytics. This combination ensures the platform is equipped to manage the company's diverse data requirements.
- A. Correct.
Amazon Kinesis Data Streams is designed to handle high-velocity streaming data, making it suitable for ingesting transactional logs and social media feeds.
- B. Correct.
Amazon S3 is highly scalable and can store both structured and unstructured data, including images and logs, making it ideal for a variety of data types.
- C. Incorrect.
Amazon RDS is not suitable for processing high-velocity or unstructured data. It is better suited for structured transactional databases like relational data.
- D. Correct.
AWS Glue is a serverless data integration service that can transform and catalog data, making it useful for preparing data for analysis.
- E. Incorrect.
Amazon Redshift is a data warehouse solution and is not optimized for storing or analyzing unstructured data such as images. It is primarily suited for structured and semi-structured data analysis.