Rope Multiple choice Questions and Answers (MCQs)

 

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Rope Multiple choice Questions and Answers (MCQs)

Question 1
Which of the following is also known as Rope data structure?
A
Cord
B
String
C
Array
D
Linked List
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Question 1 Explanation: 
Array is a linear data structure. Strings are a collection and sequence of codes, alphabets or characters. Linked List is a linear data structure having a node containing data input and the address of the next node. The cord is also known as the rope data structure.

Question 2
Which type of data structure does rope represent?
A
Array
B
Linked List
C
Queue
D
Binary Tree
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Question 2 Explanation: 
Rope is a special binary tree in which the end nodes contain the string and its length. The array is a linear data structure. Linked List is a linear data structure having a node containing data input and the address of the next node. The queue is a data structure working on the principle of FIFO.

Question 3
What is the time complexity for finding the node at x position where n is the length of the rope?
A
O (log n)
B
O (n!)
C
O (n2)
D
O (1)
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Question 3 Explanation: 
In order to find the node at x position in a rope data structure where N is the length of the rope, we start a recursive search from the root node. So the time complexity for worst case is found to be O (log N).

Question 4
What is the time complexity for creating a new node and then performing concatenation in the rope data structure?
A
O (log n)
B
O (n!)
C
O (n2)
D
O (1)
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Question 4 Explanation: 
In order to perform the concatenation on the rope data structure, one can create two nodes S1 and S2 and then performing the operation in constant time that is the time complexity is O (1).

Question 5
What is the time complexity for splitting the string into two new string in the rope data structure?
A
O (n2)
B
O (n!)
C
O (log n)
D
O (1)
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Question 5 Explanation: 
In order to perform the splitting on the rope data structure, one can split the given string into two new string S1 and S2 in O (log n) time. So, the time complexity for worst case is O (log n).

There are 5 questions to complete.

 

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