Certified Cloud Practitioner Practice Exam 2026 – Complete Prep Guide

The correct choice is AWS Kinesis, as it is purpose-built for collecting, processing, and analyzing real-time streaming data. Kinesis allows users to capture large streams of data records in real time, which can then be analyzed and transformed while still in motion. This makes it ideal for scenarios such as real-time analytics, machine learning model inference, and event-driven applications.

AWS Kinesis has various components like Kinesis Data Streams, Kinesis Data Firehose, and Kinesis Data Analytics, each serving different use cases around real-time data processing. For example, Kinesis Data Streams enables developers to build custom applications that can process or analyze streaming data, while Kinesis Data Firehose helps with loading streaming data into data lakes, data stores, and analytics services.

In contrast, AWS Lambda is a serverless compute service that can run code in response to events but does not handle streaming data directly. AWS Glue is a managed ETL (Extract, Transform, Load) service primarily used for data preparation and is more suited for batch processing rather than real-time data. AWS Batch is designed for running batch computing workloads and is not intended for real-time data streaming. Thus, AWS Kinesis stands out as the specific service tailored for real-time streaming data processing.