Exploring Binary Trees in C#

Exploring Binary Trees in C#

University

8 Qs

quiz-placeholder

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Exploring Binary Trees in C#

Exploring Binary Trees in C#

Assessment

Quiz

Computers

University

Hard

Created by

נוית פניגשטין

Used 1+ times

FREE Resource

8 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the purpose of in-order traversal in a binary tree?

To create a mirror image of the tree.

To count the number of nodes in the tree.

To find the height of the binary tree.

The purpose of in-order traversal is to retrieve the nodes of a binary tree in sorted order.

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Describe the difference between pre-order and post-order traversal techniques.

Pre-order traversal processes the root after its children, while post-order traversal processes the root before its children.

Both pre-order and post-order traversals process the root at the same time.

Pre-order traversal only processes leaf nodes, while post-order traversal processes all nodes.

Pre-order traversal processes the root before its children, while post-order traversal processes the root after its children.

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How do you implement a binary search tree insertion operation in C#?

public class TreeNode { public int Value; public TreeNode Left; public TreeNode Right; public TreeNode(int value) { Value = value; Left = null; Right = null; } } public class BinarySearchTree { public TreeNode Root; public void Insert(int value) { Root = InsertRec(Root, value); } private TreeNode InsertRec(TreeNode root, int value) { if (root == null) { root = new TreeNode(value); return root; } if (value < root.Value) { root.Left = InsertRec(root.Left, value); } else if (value > root.Value) { root.Right = InsertRec(root.Right, value); } return root; } }

private TreeNode InsertRec(TreeNode root, int value) { return new TreeNode(value); }

public class TreeNode { public int Value; public TreeNode Parent; }

public void Insert(int value) { if (Root == null) { Root = new TreeNode(value); } }

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the time complexity of searching for an element in a balanced binary search tree?

O(log n)

O(1)

O(n)

O(n log n)

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Explain how to create a tree node class in C# for a binary tree.

public class TreeNode { public int Value; public TreeNode Child; public TreeNode Sibling; }

public class BinaryNode { public int Data; public BinaryNode Parent; }

public class TreeNode { public int Value; public TreeNode Left; public TreeNode Right; public TreeNode(int value) { Value = value; Left = null; Right = null; } }

public class TreeNode { public int Value; public TreeNode Next; }

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the significance of the left and right child in a binary search tree?

Both children contain values equal to the parent node.

The left child is always a leaf node, and the right child can have multiple children.

The left child contains values less than the parent node, and the right child contains values greater than the parent node.

The left child contains values greater than the parent node, and the right child contains values less than the parent node.

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How can you perform a level-order traversal of a binary tree?

Process all nodes in a single pass without any data structure.

Use a queue to traverse the tree level by level, processing each node from left to right.

Visit each node recursively before its children to achieve level-order.

Traverse the tree using a stack to visit nodes in reverse order.

8.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What are the advantages of using a binary search tree over a regular binary tree?

The advantages of using a binary search tree over a regular binary tree include efficient searching, insertion, and deletion operations due to its sorted structure.

Binary trees are always balanced, making them faster.

Binary search trees can only store integer values.

Regular binary trees allow for more efficient searching than binary search trees.