Which of the following is used to represent a graph efficiently when the graph is sparse?

Graph Quiz

Quiz
•
Information Technology (IT)
•
University
•
Medium

Chong May
Used 72+ times
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30 questions
Show all answers
1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Adjacency Matrix
Adjacency List
Edge List
Incidence Matrix
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which traversal technique uses a queue?
DFS
BFS
Dijkstra’s
Kruskal’s
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of these algorithms is used to find the shortest path from a single source to all vertices?
Prim’s
Kruskal’s
Dijkstra’s
DFS
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What data structure is used in DFS?
Queue
Stack
Heap
Priority Queue
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which algorithm is used for topological sorting?
BFS
DFS
Kruskal
Either BFS or DFS
Answer explanation
Topological sorting is applicable only to Directed Acyclic Graphs (DAGs), and both DFS and BFS can be used to perform it, but with different approaches.
🔹 1. Using DFS (Depth-First Search):
This is the most common method.
Perform DFS traversal and push each node onto a stack after visiting all its neighbors.
Once all nodes are visited, pop from the stack to get the topological order.
2. Using BFS (Kahn’s Algorithm):BFS-based method using in-degrees of nodes.
Start with nodes having in-degree = 0, and repeatedly remove them while updating in-degrees of neighbors.
Works well for cycle detection too (if not all nodes are sorted, a cycle exists).
✅ Steps:
Calculate in-degrees.
Enqueue all nodes with in-degree 0.
While queue is not empty:
Dequeue node and add it to result.
Decrease in-degree of its neighbors.
If in-degree of neighbor becomes 0, enqueue it.
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the main difference between Kruskal’s and Prim’s algorithm?
Prim’s uses greedy approach, Kruskal doesn’t
Kruskal works on connected graphs only
Kruskal selects edges globally, Prim’s grows from a node
Prim’s is slower than Kruskal
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of the following best describes the output of a topological sort?
All edges in minimum weight
Nodes in a linear order with all dependencies resolved
Shortest paths from a single node
All cycles in a graph
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