Which of the following is a consequence of performing a full table scan on a large database?

A full table scan involves reading every row in a database table to fulfill a query. This can lead to significant resource consumption because it requires scanning through potentially millions or billions of records, consuming CPU, memory, and I/O bandwidth. The larger the table, the more resources are needed to perform the operation, which can affect overall system performance and response times for other queries.

Options indicating increased query speed and improved data integrity do not align with the nature of a full table scan, as this process typically does not enhance the speed of data retrieval; it tends to slow it down due to the volume of data being processed. Additionally, while a full table scan might not directly impact storage costs, it does not lead to a reduction in those costs either, as storage usage remains unchanged regardless of the scanning process. Therefore, the correct understanding focuses on the significant resource consumption that occurs when executing a full table scan on large databases.