The video tutorial introduces Depth First Search (DFS), explaining its strategy and comparing it with Breadth First Search (BFS). It covers the implementation of DFS using recursion, detailing the traversal logic and node visitation process. The tutorial includes code execution and output analysis, followed by testing and modifying the DFS implementation to demonstrate recursion's benefits.

What is the primary strategy of Depth First Search (DFS)?

• Explore all nodes at the present depth level before moving on to the nodes at the next depth level.

• Use a priority queue to explore nodes based on their priority.

• Explore as deep as possible along each branch before backtracking.

• Use a queue to explore nodes level by level.

Which data structure is commonly used in DFS to keep track of nodes?

• Heap

• Stack

• Priority Queue

• Queue

In DFS, what is the purpose of marking a node as visited?

• To prioritize the node in the traversal.

• To store the node's value in a separate list.

• To ensure the node is revisited multiple times.

• To prevent the node from being revisited.

What is the role of recursion in the DFS algorithm?

• To simplify the code by avoiding explicit stack management.

• To ensure nodes are visited in a specific order.

• To handle nodes with multiple children.

• To increase the complexity of the algorithm.

How does the DFS algorithm handle nodes with no adjacent unvisited nodes?

• It skips the node and moves to the next in the list.

• It terminates the traversal.

• It marks the node as unvisited and retries.

• It backtracks to the previous node.

What is the result of the DFS traversal in the given example?

• ABEFCDG

• ABCDEFG

• ABCDGEF

• EFGABCD

What is a recommended practice when implementing DFS using recursion?

• Implement a priority queue for node management.

• Use a call stack to manage function calls.

• Avoid using any data structures.

• Use a queue to manage nodes.