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85. How does a B-tree (Ilike a 2-3 tree) differ from an AVL or Red-Black tree? O A. A B-tree is a "fat" self-balancing tree data structure that makes node accesses more productive. O B. B-Trees maintains balance by building from the root down. O C. B-Trees require all nodes to fit in main memory. O D. B-Trees require more disk accesses because nodes may contain more than one key. O E. Insertion in a B-Tree is always in an internal node but may be at any level.

85. How does a B-tree (Ilike a 2-3 tree) differ from an AVL or Red-Black tree? O A. A B-tree is a "fat" self-balancing tree data structure that makes node accesses more productive. O B. B-Trees maintains balance by building from the root down. O C. B-Trees require all nodes to fit in main memory. O D. B-Trees require more disk accesses because nodes may contain more than one key. O E. Insertion in a B-Tree is always in an internal node but may be at any level.

Database System Concepts
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
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Data structures, c++

85. How does a B-tree (like a 2-3 tree) differ from an AVL or Red-Black tree? O A. A B-tree is a "fat" self-balancing tree data structure that makes node accesses more productive. O B. B-Trees maintains balance by building from the root down. O C. B-Trees require all nodes to fit in main memory. O D. B-Trees require more disk accesses because nodes may contain more than one key. O E. Insertion in a B-Tree is always in an internal node but may be at any level.
Transcribed Image Text:85. How does a B-tree (like a 2-3 tree) differ from an AVL or Red-Black tree? O A. A B-tree is a "fat" self-balancing tree data structure that makes node accesses more productive. O B. B-Trees maintains balance by building from the root down. O C. B-Trees require all nodes to fit in main memory. O D. B-Trees require more disk accesses because nodes may contain more than one key. O E. Insertion in a B-Tree is always in an internal node but may be at any level.
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