DEA-C01 Question 324
Select 3A company is building a data pipeline to process large volumes of clickstream data in real-time. They need to transform and store this data for analytics. The company wants to ensure the pipeline is highly available, scalable, and serverless. Which combination of AWS services would best meet these requirements?
- A
Amazon Kinesis Data Streams for ingesting real-time data
- B
AWS Lambda for data transformation
- C
Amazon RDS for storing the processed data
- D
Amazon S3 for storing the processed data
- E
Amazon EMR for real-time data ingestion
Show answer and explanation
Correct answers: A, B, D
Explanation
The correct combination of services ensures a scalable, serverless, and highly available solution. Amazon Kinesis Data Streams handles real-time data ingestion, AWS Lambda provides serverless data transformation, and Amazon S3 serves as a cost-effective and scalable storage solution for the processed data. These services work together to meet the company's real-time processing and analytics requirements.
- A. Correct.
Amazon Kinesis Data Streams is designed for ingesting and processing real-time data streams, making it ideal for this use case.
- B. Correct.
AWS Lambda is a serverless compute service that can be used for real-time data transformation, aligning with the company's requirements.
- C. Incorrect.
Amazon RDS is a relational database service and is not optimized for storing large-scale analytics data, especially in a serverless architecture.
- D. Correct.
Amazon S3 is highly scalable, cost-effective, and serverless, making it an excellent choice for storing processed data meant for analytics.
- E. Incorrect.
Amazon EMR is a managed big data framework but is not typically used for real-time data ingestion; it is more suited for batch processing and analytics.