My Learning Cart
?
Categories
Account

In which scenario would you prefer BFS over DFS?

₹0.0
Login to Download
  • 📥 Instant PDF Download
  • ♾ Lifetime Access
  • 🛡 Secure & Original Content

What’s inside this PDF?

Question: In which scenario would you prefer BFS over DFS?

Options:

  1. When you need to find a path in a weighted graph
  2. When you need to explore all possible paths
  3. When you need the shortest path in an unweighted graph
  4. When memory usage is a concern

Correct Answer: When you need the shortest path in an unweighted graph

Solution: 

BFS is preferred for finding the shortest path in unweighted graphs because it explores all neighbors at the present depth before moving deeper.

In which scenario would you prefer BFS over DFS?

Practice Questions

Q1
In which scenario would you prefer BFS over DFS?
  1. When you need to find a path in a weighted graph
  2. When you need to explore all possible paths
  3. When you need the shortest path in an unweighted graph
  4. When memory usage is a concern

Questions & Step-by-Step Solutions

In which scenario would you prefer BFS over DFS?
  • Step 1: Understand what BFS (Breadth-First Search) and DFS (Depth-First Search) are. BFS explores all neighbors at the current level before going deeper, while DFS goes as deep as possible down one path before backtracking.
  • Step 2: Identify the type of graph you are working with. If the graph is unweighted (meaning all edges have the same weight or cost), BFS is a good choice.
  • Step 3: Consider the goal of your search. If you need to find the shortest path from one node to another in an unweighted graph, BFS is preferred because it guarantees the shortest path.
  • Step 4: Remember that BFS uses a queue to keep track of nodes to explore, while DFS uses a stack (or recursion). This difference affects how they explore the graph.
  • Step 5: Conclude that in scenarios where finding the shortest path in unweighted graphs is important, you should choose BFS over DFS.
  • Breadth-First Search (BFS) – An algorithm that explores all neighbors at the present depth before moving deeper, making it suitable for finding the shortest path in unweighted graphs.
  • Depth-First Search (DFS) – An algorithm that explores as far as possible along a branch before backtracking, which may not guarantee the shortest path in unweighted graphs.
  • Unweighted Graphs – Graphs where all edges have the same weight, making BFS effective for shortest path calculations.
Soulshift Feedback ×

On a scale of 0–10, how likely are you to recommend The Soulshift Academy?

Not likely Very likely
Home Practice Performance eBooks