Step 1: Understand what DFS (Depth-First Search) and BFS (Breadth-First Search) are. DFS goes deep into a path before backtracking, while BFS explores all neighbors at the current level before moving deeper.
Step 2: Identify scenarios where you need to explore all possible paths. This is common in puzzles or problems where you need to find all solutions, like mazes or games.
Step 3: Recognize that DFS is better for these scenarios because it can quickly go deep into one path and backtrack if needed, allowing it to explore all options.
Step 4: Consider examples like solving a Sudoku puzzle or navigating a maze where you might need to try different paths until you find a solution.
