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Welcome to the Linked Lists MCQs Page

Dive deep into the fascinating world of Linked Lists with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of Linked Lists, a crucial aspect of Data Structures and Algorithms. In this section, you will encounter a diverse range of MCQs that cover various aspects of Linked Lists, from the basic principles to advanced topics. Each question is thoughtfully crafted to challenge your knowledge and deepen your understanding of this critical subcategory within Data Structures and Algorithms.

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Check out the MCQs below to embark on an enriching journey through Linked Lists. Test your knowledge, expand your horizons, and solidify your grasp on this vital area of Data Structures and Algorithms.

Note: Each MCQ comes with multiple answer choices. Select the most appropriate option and test your understanding of Linked Lists. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

Linked Lists MCQs | Page 14 of 17

Q131.
Which of the following application makes use of a circular linked list?
Discuss
Answer: (c).Allocating CPU to resources
Q132.
Choose the code snippet which inserts a node to the head of the list?
a)

public void insertHead(int data)
{
 Node temp = new Node(data);
 Node cur = head;
 while(cur.getNext() != head)
  cur = cur.getNext()
 if(head == null)
 {
  head = temp;
  head.setNext(head);
 }
 else
 {
  temp.setNext(head);
  head = temp;
  cur.setNext(temp);
 }
 size++;
}

b)

public void insertHead(int data)
{
 Node temp = new Node(data);
 while(cur != head)
  cur = cur.getNext()
 if(head == null)
 {
  head = temp;
  head.setNext(head);
 }
 else
 {
  temp.setNext(head.getNext());
  cur.setNext(temp);
 }
 size++;
}

c)

public void insertHead(int data)
{
 Node temp = new Node(data);
 if(head == null)
 {
  head = temp;
  head.setNext(head);
 }
 else
 {
  temp.setNext(head.getNext());
  head = temp;
 }
 size++;
}

d)

public void insertHead(int data)
{
 Node temp = new Node(data);
 if(head == null)
 {
  head = temp;
  head.setNext(head.getNext());
 }
 else
 {
  temp.setNext(head.getNext());
  head = temp;
 }
 size++;
}

a.

a

b.

b

c.

c

d.

d

Discuss
Answer: (a).a
Q133.
What is the functionality of the following code? Choose the most appropriate answer.
public int function()
{
 if(head == null)
  return Integer.MIN_VALUE;
 int var;
 Node temp = head;
 while(temp.getNext() != head)
  temp = temp.getNext();
 if(temp == head)
 {
  var = head.getItem();
  head = null;
  return var;
 }
 temp.setNext(head.getNext());
 var = head.getItem();
 head = head.getNext();
 return var;
}
Discuss
Answer: (d).Returns the data and deletes the node from the beginning of the list
Q134.
What is the functionality of the following code? Choose the most appropriate answer.
public int function()
{
 if(head == null)
  return Integer.MIN_VALUE;
 int var;
 Node temp = head;
 Node cur;
 while(temp.getNext() != head)
 {
  cur = temp;
  temp = temp.getNext();
 }
 if(temp == head)
 {
  var = head.getItem();
  head = null;
  return var;
 }
 var = temp.getItem();
 cur.setNext(head);
 return var;
}
Discuss
Answer: (b).Returns the data and deletes the node at the end of the list
Discuss
Answer: (b).Time complexity of inserting a new node at the head of the list is O(1)
Discuss
Answer: (b).Have fast and slow pointers with the fast pointer advancing two nodes at a time and slow pointer advancing by one node at a time
Discuss
Answer: (b).a linkedlist that allows faster search within an ordered sequence
Q138.
Skip lists are similar to which of the following datastructure?
Discuss
Answer: (d).balanced binary search tree
Q139.
What is the time complexity improvement of skip lists from linked lists in insertion and deletion?
Discuss
Answer: (a).O(n) to O(logn) where n is number of elements
Q140.
To which datastructure are skip lists similar to in terms of time complexities in worst and best cases?
Discuss
Answer: (a).balanced binary search trees

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