The data structure that is useful in traversing a given graph by breadth first search is a) Queue.

Here's why:

1. In a Breadth-First Search (BFS) algorithm, we start traversing from the root node (or any arbitrary node in case of a graph) and explore all the neighboring nodes at the present depth prior to moving on to nodes at the next depth level.

2. To keep track of all the nodes at the current level to explore, we need a data structure that allows us to insert and remove elements in a particular order. This order is First-In-First-Out (FIFO), which means that the nodes that are visited first will be explored first.

3. A Queue data structure follows the FIFO rule, and hence, it is used in the BFS algorithm.

4. When we insert any element into a queue, it will be stored at the end and we can only remove the elements from the front. This property of Queue makes it possible to explore nodes in the order they are visited.

So, the correct answer is a) Queue.

Question

The data structure that is useful in traversing a given graph by breadth first search is a) Queue.

Here's why:

1. In a Breadth-First Search (BFS) algorithm, we start traversing from the root node (or any arbitrary node in case of a graph) and explore all the neighboring nodes at the present depth prior to moving on to nodes at the next depth level.

2. To keep track of all the nodes at the current level to explore, we need a data structure that allows us to insert and remove elements in a particular order. This order is First-In-First-Out (FIFO), which means that the nodes that are visited first will be explored first.

3. A Queue data structure follows the FIFO rule, and hence, it is used in the BFS algorithm.

4. When we insert any element into a queue, it will be stored at the end and we can only remove the elements from the front. This property of Queue makes it possible to explore nodes in the order they are visited.

So, the correct answer is a) Queue.

Knowee AI · Accepted Answer

The data structure that is useful in traversing a given graph by breadth first search is a) Queue.

Here's why:

1. In a Breadth-First Search (BFS) algorithm, we start traversing from the root node (or any arbitrary node in case of a graph) and explore all the neighboring nodes at the present depth prior to moving on to nodes at the next depth level.

2. To keep track of all the nodes at the current level to explore, we need a data structure that allows us to insert and remove elements in a particular order. This order is First-In-First-Out (FIFO), which means that the nodes that are visited first will be explored first.

3. A Queue data structure follows the FIFO rule, and hence, it is used in the BFS algorithm.

4. When we insert any element into a queue, it will be stored at the end and we can only remove the elements from the front. This property of Queue makes it possible to explore nodes in the order they are visited.

So, the correct answer is a) Queue.

Which of the following data structure is useful in traversing a given graph by breadth first search?a)Queueb)None of the mentionedc)Stackd)List

Question

Which of the following data structure is useful in traversing a given graph by breadth first search?

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