QUE STION 8 Consider the array (5, 8, 2, 6, 7}. How many exchanges are required to sort the given array using Bubble sort? O a 8 Ob.3 Oc 5 Od.7

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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O d. All options are correct
QUE STION 8
Consider the aray (5, 8, 2, 6, 7}. How many exchanges are required to sort the given array using Bubble sort?
O a.8
O b.3
Oc5
Od.7
QUE STION 9
For an array of size n, the time taken by the bubble sort in the worst case is:
Oa (n3
Ob.O(log n)
Oc O(n)
Od.0(2 n)
QUE STION 10
Consider a Java program that implements a recursive method without having a base case. The program when executed:
O a. Runs without any problem
o b. After 1000000 repetitions stops automatically
7c The program does not execute at all
Gets stuck in an infinite loop
Click Sque and Subrit to saue and subit Cick save AllARsues TO Save ollanswers
Transcribed Image Text:O d. All options are correct QUE STION 8 Consider the aray (5, 8, 2, 6, 7}. How many exchanges are required to sort the given array using Bubble sort? O a.8 O b.3 Oc5 Od.7 QUE STION 9 For an array of size n, the time taken by the bubble sort in the worst case is: Oa (n3 Ob.O(log n) Oc O(n) Od.0(2 n) QUE STION 10 Consider a Java program that implements a recursive method without having a base case. The program when executed: O a. Runs without any problem o b. After 1000000 repetitions stops automatically 7c The program does not execute at all Gets stuck in an infinite loop Click Sque and Subrit to saue and subit Cick save AllARsues TO Save ollanswers
QUESTION 1
An ordinary queue implemented using an array of size CAPACITY gets full when:
O a. Rear = front
O b. Rear = CAPACITY-1
OC. Front = rear + 1
O d. Front = (rear + 1) mod CAPACITY
QUESTION 2
What is the time complexity (big O notation) of the following fragment of code?
int i = 1;
while( i*i<=n){
System.out.printin();
i++
Oa 0(n12)
obo( log n)
odon?)
Transcribed Image Text:QUESTION 1 An ordinary queue implemented using an array of size CAPACITY gets full when: O a. Rear = front O b. Rear = CAPACITY-1 OC. Front = rear + 1 O d. Front = (rear + 1) mod CAPACITY QUESTION 2 What is the time complexity (big O notation) of the following fragment of code? int i = 1; while( i*i<=n){ System.out.printin(); i++ Oa 0(n12) obo( log n) odon?)
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