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In which scenario is Breadth-First Search (BFS) preferred over Depth-First Searc

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Question: In which scenario is Breadth-First Search (BFS) preferred over Depth-First Search (DFS)?

Options:

  1. When memory is limited
  2. When the shortest path is required
  3. When the graph is very deep
  4. When cycles are present

Correct Answer: When the shortest path is required

Solution: 

BFS is preferred when the shortest path is required because it explores all neighbors at the present depth prior to moving on to nodes at the next depth level.

In which scenario is Breadth-First Search (BFS) preferred over Depth-First Searc

Practice Questions

Q1
In which scenario is Breadth-First Search (BFS) preferred over Depth-First Search (DFS)?
  1. When memory is limited
  2. When the shortest path is required
  3. When the graph is very deep
  4. When cycles are present

Questions & Step-by-Step Solutions

In which scenario is Breadth-First Search (BFS) preferred over Depth-First Search (DFS)?
  • Step 1: Understand that BFS and DFS are two different ways to explore graphs or trees.
  • Step 2: Know that BFS explores all the nodes at the current level before moving deeper, while DFS goes as deep as possible down one path before backtracking.
  • Step 3: Recognize that BFS is useful when you need to find the shortest path between two nodes.
  • Step 4: Remember that BFS checks all possible paths at the same depth level, ensuring that the first time it reaches a node, it has found the shortest path to that node.
  • Step 5: Conclude that if the problem requires the shortest path, BFS is the better choice.
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