Question 5 If we build the Max-Heap tree of the following set of data: [10, 2, 6, 7, 18, 0, -3, 5] Which of the following statements are not true? 3 is the root node and 10 and and 18 are among the leave nodes. O 18 is the root node and 2 and and -3 are among the leave nodes. 18 is the root node and 7 and and -3 are among the leave nodes. O 18 is the root node and 7 and and 10 are among the leave nodes.

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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Question 5
If we build the Max-Heap tree of the following set of data:
[10, 2, 6, 7, 18, 0, -3, 5]
Which of the following statements are not true?
O -3 is the root node and 10 and and 18 are among the leave nodes.
O 18 is the root node and 2 and and -3 are among the leave nodes.
O 18 is the root node and 7 and and -3 are among the leave nodes.
O 18 is the root node and 7 and and 10 are among the leave nodes.
Question 6
In dynamic programming, the technique of storing the previously calculated values is called
O Storing value property
O Saving value property
O Mapping
O Memoization
Question 7
A greedy algorithm can be used to solve all dynamic programming problems.
O True
O False
Transcribed Image Text:Question 5 If we build the Max-Heap tree of the following set of data: [10, 2, 6, 7, 18, 0, -3, 5] Which of the following statements are not true? O -3 is the root node and 10 and and 18 are among the leave nodes. O 18 is the root node and 2 and and -3 are among the leave nodes. O 18 is the root node and 7 and and -3 are among the leave nodes. O 18 is the root node and 7 and and 10 are among the leave nodes. Question 6 In dynamic programming, the technique of storing the previously calculated values is called O Storing value property O Saving value property O Mapping O Memoization Question 7 A greedy algorithm can be used to solve all dynamic programming problems. O True O False
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