Which tree traversal strategy explores all the children of a node before moving on to the next level?

Breadth-First Search (BFS) is a tree traversal strategy that explores all nodes at the present depth (or level) before moving on to nodes at the next depth level. BFS uses a queue to explore all neighboring nodes first before moving to nodes in the next level. This strategy is particularly useful for finding the shortest path in unweighted graphs and is implemented using iterative techniques with the help of a queue. In a BFS traversal of a tree, all the children of a node are visited before any of their respective children, ensuring that nodes are explored level by level from the root. Why Other Options Are Wrong: A) In-order Traversal: This is a depth-first strategy for binary trees that visits the left subtree, the root, and then the right subtree. B) Pre-order Traversal: This depth-first strategy visits the root first, then recursively traverses the left subtree and the right subtree. C) Post-order Traversal: This depth-first strategy visits both subtrees first, and the root node is visited last. E) Depth-First Search (DFS): DFS explores a node's child nodes to their deepest level before backtracking and exploring other branches, in contrast to BFS's level-wise exploration.