CLF-C02 Question 252
Select 3Your company needs to deploy a new data analytics pipeline that involves data storage, processing, and visualization. Which of the following AWS services would you choose to meet these requirements?
- A
Amazon S3
- B
AWS Glue
- C
Amazon Redshift
- D
Amazon QuickSight
- E
Amazon EC2
Show answer and explanation
Correct answers: A, B, D
Explanation
To create a data analytics pipeline, you would use Amazon S3 for storage, AWS Glue for data processing, and Amazon QuickSight for visualization. These managed services are designed to work seamlessly together to handle the requirements of the pipeline. Amazon Redshift and EC2 may be useful in certain scenarios but are not strictly necessary for the requirements described.
- A. Correct.
Amazon S3 is a scalable object storage service that can be used to store raw data for the pipeline, making it a key component in the storage phase.
- B. Correct.
AWS Glue is a fully managed ETL (Extract, Transform, Load) service that can process and transform data, making it suitable for the data processing phase.
- C. Incorrect.
Amazon Redshift is a data warehouse service that may be useful for querying and storing structured data but is optional for this scenario. It is not explicitly required for the outlined steps of storage, processing, and visualization.
- D. Correct.
Amazon QuickSight is a business intelligence tool for visualization, making it the ideal choice for the visualization phase.
- E. Incorrect.
Amazon EC2 is a computing service that can host applications or custom solutions, but it is not specifically required here since fully managed services like AWS Glue and QuickSight can handle the processing and visualization tasks.