Amazon Academy Final Practice Exam 2025 – Comprehensive Test Prep

Question: 1 / 400

Which AWS service is used for real-time data streaming?

Amazon Redshift

Amazon Kinesis

Amazon Kinesis is the correct choice for real-time data streaming because it is specifically designed to process and analyze streaming data in real time. It enables you to collect, process, and analyze large streams of data records in seconds, making it suitable for applications that require low-latency processing, such as log and event data analysis, real-time metrics, and more.

Amazon Kinesis offers various components, including Kinesis Data Streams for building custom applications that process or analyze streaming data, Kinesis Data Firehose for reliably loading streaming data into data lakes and analytics services, and Kinesis Data Analytics for SQL-based analysis of streaming data. These capabilities make Kinesis a comprehensive solution for handling real-time data streams.

In contrast, Amazon Redshift is primarily designed for data warehousing and analytics, handling batch processing of large datasets rather than real-time streaming. Amazon S3 is an object storage service used for storing and retrieving data, but it does not provide real-time streaming capabilities. Amazon Lambda is a serverless compute service that allows you to run code in response to events, which can include stream processing from Kinesis, but it is not a dedicated streaming service itself. Thus, Amazon Kinesis stands out as the appropriate choice for real-time data streaming needs.

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Amazon S3

Amazon Lambda

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