Chapter Quiz

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16 Qs

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Chapter Quiz

Chapter Quiz

Assessment

Quiz

Computers

University

Practice Problem

Hard

Created by

CECILIA GENER

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16 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 2 pts

Which of the following statements accurately describes a property of AVL trees?

  

 

  AVL trees allow unlimited height for optimal performance.

AVL trees are always skewed.

AVL trees self-balance to maintain a balance factor of at most one for each node.

AVL trees provide slower lookups compared to Red-Black Trees.

2.

MULTIPLE CHOICE QUESTION

20 sec • 2 pts

Which traversal method is commonly implemented using a stack or recursion?

  

   -

  

Depth First Search (DFS)

Breadth First Search (BFS)

  Dijkstra's Algorithm

Bellman-Ford Algorithm

3.

MULTIPLE CHOICE QUESTION

20 sec • 2 pts

Which data structure is typically used for implementing Breadth First Search (BFS)?

  

Stack

Array

queue

linked List

4.

MULTIPLE CHOICE QUESTION

20 sec • 2 pts

In an AVL tree, what rotation is performed when a node is added to the right subtree of the right subtree?

  

Left Rotation

Right Rotation

Left-Right Rotation

Right-Left Rotation

5.

MULTIPLE CHOICE QUESTION

20 sec • 2 pts

What are the two most common ways to traverse a graph?

  

   -

Depth First Search (DFS) and Bellman-Ford Algorithm

Breadth First Search (BFS) and Dijkstra's Algorithm

Depth First Search (DFS) and Breadth First Search (BFS)

   Dijkstra's Algorithm and Bellman-Ford Algorithm

6.

MULTIPLE CHOICE QUESTION

20 sec • 2 pts

Explain how Depth First Search (DFS) works in graph traversal.

  

  

  

DFS visits all adjacent vertices before moving to neighboring vertices.

DFS prioritizes vertices closer to the starting vertex and explores their neighbors first.

DFS uses a queue to visit vertices in the order they are added.

DFS ensures that vertices are visited in alphabetical order.

7.

MULTIPLE CHOICE QUESTION

20 sec • 2 pts

What is the maximum height an AVL tree with 'N' nodes can have?

 

N

2N

log(N)

log(N)2

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