An architecture is being considered which would consist of several EC2 Instances hosting a data ingestion application. The application would receive thousands of events per second from various IoT devices. The data from these devices need to be streamed for real time analytics. Which of the following would be the ideal way to ingest the data ensuring high throughput of data of ingestion?

Answer options:

A.Ensure the application implements the Kinesis API library for ingestion of calls
B.Ensure the application implements the Kinesis KPL library for ingestion of calls
C.Ensure the application implements the Kinesis KCL library for ingestion of calls
D.Ensure the application ingests the data into a Redshift cluster

Answer – B
The AWS Documentation mentions the following
The KPL can help build high-performance producers. Consider a situation where your Amazon EC2 instances serve as a proxy for collecting 100-byte events from hundreds or thousands of low power devices and writing records into a Kinesis data stream. These EC2 instances must each write thousands of events per second to your data stream. To achieve the throughput needed, producers must implement complicated logic, such as batching or multithreading, in addition to retry logic and record de-aggregation at the consumer side. The KPL performs all of these tasks for you.
Option A is invalid since the Kinesis Producer Library would be more efficient that using the Kinesis API
Option C is invalid since this library is used for consuming records
Option D is invalid since Kinesis needs to be used for real time ingestion of data
For more information on the Kinesis Producer Library, please refer to the below URL
https://docs.aws.amazon.com/streams/latest/dev/developing-producers-with-kpl.html