Which of these best describes the characteristics of page blobs?

Page blobs are designed to excel at random read and write access, making them particularly suitable for applications that require high-performance storage with low-latency demands. Each page blob can be made up of up to 8 TB of storage and consists of 512-byte pages, allowing for efficient updating of specific portions of the data rather than having to rewrite entire files. This feature promotes flexibility and efficiency in scenarios where applications frequently access or modify data in non-sequential patterns, such as virtual hard disks for Azure virtual machines or databases.

The ability to read and write data in a random manner gives developers and IT professionals the option to optimize their applications to perform well in dynamic environments where not all data is used in a linear fashion. This characteristic is essential for use cases like transactional processing, virtual storage, and other scenarios requiring quick, responsive data access.

In contrast, streaming data optimization typically relates more closely to block blobs rather than page blobs, while infrequent changes are characteristic of blob storage that is not focused on high-performance access. Archiving data often utilizes cold storage solutions, which again does not align with the operational goals of page blobs.