AWS Certified Developer Associate DVA-C02 Practice Question
A company is developing a real-time analytics application that will process and visualize data from social media feeds. The application needs to be able to handle varying volumes of incoming data, with potential bursts of high traffic during specific events. Which AWS service should the developers use to efficiently collect, process, and deliver these real-time streaming data feeds to downstream analytics tools?
Amazon Kinesis Data Streams is the appropriate service for real-time data collection and processing of streaming data at scale. It can handle large streams of data from potentially thousands of sources, with low latencies for processing and the ability to scale according to the throughput needed.
Amazon DynamoDB, while capable of handling high-throughput and providing low-latency access to data, is not designed to be a data streaming service. Instead, it is optimized for use as a NoSQL database with strong consistency and performance at scale for application data storage.
Amazon S3 is an object storage service well-suited for storing and retrieving large amounts of data, but it is not optimized for real-time data streaming scenarios.
Amazon RDS is a relational database service that also does not provide a solution for real-time streaming data, as it is intended for managing relational databases and not for processing data streams.
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AWS Certified Developer Associate DVA-C02
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