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Tree and Graphs most asked MCQ

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Document containing multiple-choice questions (MCQs) on trees and graphs can be a helpful resource for clearing concepts related to these topics. Trees and graphs are fundamental data structures in computer science and have various applications in areas such as algorithms, network analysis, and data modeling. The document likely contains a series of questions and answer choices focused on topics such as: Tree Terminology: Questions related to the basic terminology used in trees, including root, node, leaf, parent, child, depth, and height. Binary Trees: Questions on binary tree concepts, such as binary tree traversal (pre-order, in-order, post-order), binary search trees, and operations like insertion and deletion. Tree Traversal Algorithms: Questions about traversing general trees using algorithms like depth-first search (DFS) and breadth-first search (BFS). Graph Terminology: Questions covering the basic terminology used in graphs, including vertices (nodes) and edges, directed and undirected graphs, weighted and unweighted graphs. Graph Representations: Questions on different ways to represent graphs, such as adjacency matrix, adjacency list, and edge list. Graph Algorithms: Questions related to graph algorithms, such as finding shortest paths (Dijkstra's algorithm, Bellman-Ford algorithm), minimum spanning trees (Prim's algorithm, Kruskal's algorithm), and topological sorting. Graph Traversal: Questions about traversal algorithms for graphs, including depth-first search (DFS) and breadth-first search (BFS). Graph Connectivity: Questions on graph connectivity, connected components, and finding bridges and articulation points. Applications of Trees and Graphs: Questions that highlight the practical applications of trees and graphs, such as decision trees, network routing, social network analysis, and dependency resolution. Each question will likely be accompanied by multiple answer choices, out of which one or more options will be correct. This format allows you to test your understanding of the concepts and practice applying them. By attempting the MCQs and reviewing the provided answers, you can reinforce your understanding of tree and graph concepts, identify areas that require further study, and improve your problem-solving skills in these areas. Remember to refer to the provided explanations and solutions for each question to deepen your understanding of the concepts and techniques involved.

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Tree And Graph

TREE

1.
In which of the tree traversal method root node is always
visited first.

A. Inorder
B. Preorder
C. Postorder
D. In all of the above

Answer: B

2.
In which of the tree traversal method elements gets
visited in an ascending order.

A. Inorder
B. Preorder
C. Postorder
D. In all of the above

Answer: A

3.
For which of the following tree traversal algorithm do not
requires a stack.

A. Inorder
B. Postorder
C. Depth First Search
D. Breadth First Search

Answer: D


4.
Node which is having non-zero degree called as _______.



Augest 2019 – December 2019 1

, Tree And Graph
A. Zero Degree Node
B. Leaf node
C. Root Node
D. Null Node

Answer: B

5.
Binary tree in which all leaf nodes are at same level and
has exactly two children is called as _____________.

A. Perfect Binary Tree
B. Complete Binary Tree
C. Strictly Binary Tree
D. All of the above

Answer: A

6.
Binary Tree with minimum possible height is called as ___.

A. Shortest Binary Tree
B. Min Height Tree
C. Balanced Binary Search Tree
D. None of the above

Answer: C

7.
In a Binary Search Tree searching operation takes ___time.

A. O(1)
B. O(n)
C. O(log n)
D. O(n log n)

Answer: C




Augest 2019 – December 2019 2
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