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Database-Management-System
December 3, 2023
Question 1193 – Nielit Scientist-B CS 22-07-2017
December 3, 2023
Database-Management-System
December 3, 2023
Question 1193 – Nielit Scientist-B CS 22-07-2017
December 3, 2023

Database-Management-System

Question 796
Which one of the following is a key factor for preferring B+-trees to binary search trees for indexing database relations?

  1. Database relations have a large number of records
  2. Database relations are sorted on the primary key
  3. B-trees require less memory than binary search trees
  4. Data transfer from disks is in blocks

A
Database relations have a large number of records
B
Database relations are sorted on the primary key
C
B-trees require less memory than binary search trees
D
Data transfer from disks is in blocks
Question 796 Explanation: 
A B+ tree is an N-ary tree with a variable but often large number of children per node. A B+ tree consists of a root, internal nodes and leaves.
The root may be either a leaf or a node with two or more children.
The primary value of a B+ tree is in storing data for efficient retrieval in a block-oriented storage context — in particular, filesystems.
This is primarily because unlike binary search trees, B+ trees have very high fanout (number of pointers to child nodes in a node,typically on the order of 100 or more), which reduces the number of I/O operations required to find an element in the tree.
Correct Answer: D
Question 796 Explanation: 
A B+ tree is an N-ary tree with a variable but often large number of children per node. A B+ tree consists of a root, internal nodes and leaves.
The root may be either a leaf or a node with two or more children.
The primary value of a B+ tree is in storing data for efficient retrieval in a block-oriented storage context — in particular, filesystems.
This is primarily because unlike binary search trees, B+ trees have very high fanout (number of pointers to child nodes in a node,typically on the order of 100 or more), which reduces the number of I/O operations required to find an element in the tree.
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