
ADS QUIZ FOR MECH1

Quiz
•
Computers
•
Professional Development
•
Hard
Mara Shirisha
Used 1+ times
FREE Resource
10 questions
Show all answers
1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is common in three different types of traversals (Inorder, Preorder and Postorder)?
Root is visited before right subtree
Root is visited after left subtree
Left subtree is always visited before right subtree
All of the above
2.
MULTIPLE CHOICE QUESTION
3 mins • 1 pt
The inorder and preorder traversal of a binary tree are d b e a f c g and a b d e c f g, respectively. The postorder traversal of the binary tree is:
d e b f g c a
e d b g f c a
e d b f g c a
d e f g b c a
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Choose the equivalent prefix form of the following expression (a + (b − c))* ((d − e)/(f + g − h))
* +a − bc /− ed + −fgh
* +ab − c /− ed + −fgh
* +a − bc /− de − +fgh
* +a −bc − /de − +fgh
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of the following is true about a complete binary tree?
Every level, except possibly the last, is completely filled
Every node has either 0 or 2 children
The height of the tree is always log n, where n is the number of nodes
All of the above
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which data structure is used for depth-first search?
Queue
Stack
Heap
Linked List
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the main difference between binary search tree and AVL tree?
AVL tree is always balanced, while binary search tree may not be balanced
Binary search tree is always balanced, while AVL tree may not be balanced
There is no difference between binary search tree and AVL tree
AVL tree always has a height of log n, where n is the number of nodes
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the main difference between red-black tree and AVL tree?
AVL tree is always balanced, while red-black tree may not be balanced
Red-black tree is always balanced, while AVL tree may not be balanced
There is no difference between red-black tree and AVL tree
Red-black tree always has a height of log n, where n is the number of nodes
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