DEA-C01 Question 15
Select 2You are designing a data ingestion pipeline for a real-time analytics application that processes financial transactions. The application requires low-latency ingestion of data but also needs to handle high throughput during peak periods. Which AWS service(s) would be most suitable for meeting these requirements?
- A
Amazon Kinesis Data Streams
- B
Amazon S3
- C
Amazon SQS
- D
Amazon Managed Streaming for Apache Kafka (MSK)
- E
AWS Glue
Show answer and explanation
Correct answers: A, D
Explanation
For real-time analytics applications requiring low latency and the ability to handle high throughput, services like Amazon Kinesis Data Streams and Amazon MSK are ideal choices. Both are optimized for ingesting and processing streaming data in real time. Other services like Amazon S3, Amazon SQS, and AWS Glue are not designed for these specific performance requirements in real-time scenarios.
- A. Correct.
Amazon Kinesis Data Streams is designed for real-time data ingestion with low latency and high throughput, making it ideal for scenarios like real-time analytics or processing financial transactions.
- B. Incorrect.
Amazon S3 is an object storage service that focuses on durability and scalability but is not designed for low-latency, high-throughput real-time data ingestion.
- C. Incorrect.
Amazon SQS is a message queuing service that is better suited for decoupling components in distributed systems. It is not optimized for real-time, high-throughput data ingestion.
- D. Correct.
Amazon Managed Streaming for Apache Kafka (MSK) is a managed service for Apache Kafka, which is capable of handling high throughput and low-latency requirements, making it suitable for real-time analytics pipelines.
- E. Incorrect.
AWS Glue is a data integration service primarily used for ETL (Extract, Transform, Load) workflows. It is not designed for real-time ingestion or low-latency requirements.