Question

The indexed sequential access method (ISAM) is slow and becomes increasingly useful as the number of records becomes larger.

Options:
A. True
B. False

Answer 1

B. False. The indexed sequential access method (ISAM) can be faster for larger data sets, but it may not always be the most efficient option.

Step-by-step explanation:

The indexed sequential access method (ISAM) can be faster than other access methods, such as sequential access, for larger data sets.

ISAM is a disk-based access method that uses an index to organize and locate records in a file. The index allows for direct access to specific records, making it efficient for retrieving data. However, as the number of records in the file increases, the overhead of maintaining and updating the index can slow down the overall performance of ISAM, making it less efficient compared to other methods in certain scenarios.

Therefore, the statement that ISAM becomes increasingly useful as the number of records becomes larger is false. While ISAM can be efficient for larger data sets, it may not always be the fastest option, and the choice of access method depends on various factors like the size and nature of the data.