What does the change feed on a blob provide?

The change feed on a blob offers an ordered, read-only record of updates made to that blob. This feature allows applications and users to track modifications systematically, indicating what changes have occurred and the sequence of those changes. The change feed captures specific updates, providing a reliable audit trail for the blob, which can be especially useful for scenarios such as data synchronization, incremental processing, or maintaining historical records of data versions.

This capability enhances data management and analytical processes, allowing for detailed monitoring of changes without altering the original data. It supports applications that require an understanding of how data evolves over time, enabling developers and data engineers to implement more robust data workflows.

The other options do not accurately describe the function of the change feed. For instance, a live data stream of real-time updates would imply continuous, dynamic updates, which is not the case with the change feed that focuses on logged changes. A log of access requests pertains to tracking who accessed the blob rather than the changes made to it. Lastly, a summary of storage costs relates to financial metrics of blob storage and does not reflect the nature of data changes captured in a change feed.