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)?
When memory is limited
When the shortest path is required
When the graph is very deep
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.
