Which file structure is best suited for handling large datasets and ensuring fast access in C, C++, Java, or Python?    Â
A B-Tree file structure is highly efficient for handling large datasets because it keeps data sorted and allows for searches, sequential access, insertions, and deletions in logarithmic time. B-trees are widely used in databases and file systems, providing a balanced approach to managing large datasets that need to be frequently updated while maintaining quick access. The branching factor ensures that the tree remains balanced, optimizing both read and write performance. Linked List : Linked lists are inefficient for random access as they require linear traversal. Sequential File : This file structure requires scanning through all records to find specific data, making it unsuitable for large datasets. Hash File : Hashing provides constant-time access but struggles with data that needs ordering or sequential access. Heap File : Heap files are suitable for unsorted data and can become inefficient for large datasets when it comes to searching. Â
Which of the Following T-Bills is not issued at present?
Exim Bank was established in the year
For SANKALPÂ Project, India has signed loan agreement of $250 million with ____________.Â
In Banking Industry, what is true about CASA.
i.It stands for Current Account and Saving Account
ii.CASA represents the low-cost funds ava...
Where are the headquarters of the Indian Bank?
Uttarakhand Gramin Bank established after the amalgamation of
Current Repo rate is ________.
Which economy is called as Closed Economy?Â
Scheduled Banks in India refer to those banks which have been included in the _______ Schedule of Reserve Bank of India Act, 1934.Â
Full payment of debt in instalment of principal & earned interest over a definite time is called