Which types of data can Amazon Kinesis Data Streams continuously capture and store?

Amazon Kinesis Data Streams is designed specifically to handle data that is generated continuously and needs to be processed in real-time. The types of data that are particularly well-suited for Kinesis include high-velocity, time-sensitive information that can come from a variety of sources.

The correct option highlights financial transactions, social media feeds, and website clickstreams. Each of these data types typically generates streams of information that can be ingested and processed in real-time, making them ideal for Kinesis. For instance, financial transactions occur continuously as businesses process payments, social media platforms generate vast amounts of user-generated content constantly, and website clickstreams track user behavior in real-time as visitors interact with a site.

In contrast, other choices feature data types that are more static or batch-oriented. Inventory data and historical sales figures do not necessarily need to be processed in real-time, making them less suitable for Kinesis. Employee performance metrics and server health logs, while possibly captured continuously, may not be streamed with the same frequency and urgency as financial transactions or social media feeds. Static website content and document storage are completely unsuitable as they involve data that does not change often and is not generated continuously.

Therefore, the continuous and real-time nature of the data mentioned in the