Which of the following storage options is generally used for streaming and log processing?

The choice of storage option for streaming and log processing is typically associated with block volume storage. Block volume storage is designed to provide quick access to data with low latency, which is essential for applications that require real-time or near-real-time data processing. This type of storage organizes data into blocks and allows for efficient read and write operations, making it suitable for scenarios such as live data ingestion, where logs are continuously generated and processed.

Streaming and log processing frameworks often rely on the ability to quickly access and manipulate data as it comes in, and block volumes support this requirement by offering high performance. They provide a more structured storage solution compared to other types, making it easier for applications to manage data effectively across varying workload demands.

In contrast, while other storage options exist, they generally serve different purposes. For instance, object storage is optimized for storing large amounts of unstructured data, like images or backups, and isn't typically used for high-speed operations. Archive storage, as the name suggests, is intended for long-term retention of infrequently accessed data. File storage is user-friendly for sharing files and collaborative work, but it may not provide the same level of performance needed for intensive streaming or log processing tasks.