Splay Tree and Treap Quiz Online Practice Test

1. What defines splay trees in the context of data structures?

Self-adjusting binary search trees

Self-adjusting binary trees

Trees specifically designed for storing strings

Trees optimized for managing probability distributions

2. Which statement accurately describes a property of splay trees?

It manages the probability distribution of its subtrees.

Performing any sequence of j operations on an empty splay tree with h nodes takes at most O(jlogh) time.

A sequence of operations on a splay tree with h nodes can be completed in O(logh) time.

Splay trees are considered unstable.

3. What are the advantages of using splay trees?

Simplified programming

Enhanced space efficiency

Simplified programming combined with faster access to recently used items

Faster search operations

4. Do splay trees have O(logn) amortized time complexity?

Yes, they do.

No, they don’t.

It depends on the specific operations performed.

The complexity varies with the type of tree operations

5. What does the splay operation involve in a splay tree?

Shifting the parent node to become a child node

Elevating a specific node to the root position

Moving the root node to a leaf position

Deleting a leaf node

6. In what scenario are splay trees commonly utilized?

Enhancing cache efficiency

Optimizing network protocols

Managing data transmission

Handling data reception

7. Given that red-black and AVL trees offer logarithmic time operations, why might splay trees still be valuable?

There’s no significant advantage to using splay trees.

Real-world data access patterns often show that 80% of accesses involve just 20% of the data, making frequently accessed elements more readily available in splay trees.

Red-black and AVL trees are insufficient for some applications.

Splay trees are simply another variant of self-balancing binary search trees.

8. What level of space complexity does the Treap algorithm exhibit?

O(N)

O(log N)

O(N log N)

O(N2)

9. What best describes the Treap data structure?

It’s a hybrid of a binary search tree and a priority queue

It’s exclusively a type of binary search tree

It integrates the characteristics of both a tree and a heap

It’s unrelated to both trees and heaps

10. Which of the following represents the most straightforward form of a binary search tree?

AVL Tree

Treap

Splay Tree

Binary Heap

11. What contributes to the simplicity of a Treap data structure?

Nodes contain only data and a single pointer

Nodes are assigned colors for balance

It combines binary search tree properties with heap rules

Each node has a fixed priority value

12. What rule governs the priority of nodes in a Treap?

A node’s priority must exceed that of its parent

A node’s priority must be equal to or greater than its parent’s

The priority is assigned randomly and can vary widely

Priorities are always assigned in a strictly decreasing sequence

13. In a Treap, which node is assigned the lowest priority?

The root node

A leaf node

A null node

A central node

14. How is the priority of a null node defined in a Treap?

An arbitrary value

Infinite

15. Which researcher is credited with the invention of Treaps?

Cecilia and Raimund

Arne Andersson

Donald Shell

Harris and Ross

Test Name:	Splay Tree and Treap Quiz
Subject Category:	Computer Science
Test Type:	Multiple Choice Questions
Total Score / Questions:	15 / 15
Time Allowed:	10 Min
Who Should Practice this Test:	Students, job seekers, or professionals preparing for competitive exams and interviews.

Splay Tree and Treap MCQ Quiz Online Practice Test