Consider the following scenario: You are using a search

algorithm to navigate a maze where certain paths lead to

dead ends, and the goal is to reach the exit. You start at

point $"$A$,"$ and the exit is at point $"$G$."$ Some paths are

blocked or loop back to already visited points.

Path $1$: $ABCDG($goal$)$

Path $2$: $AEF($loop back to $A$

Path $3$: $ABEFCDG$

Which of the following best defines the concept of

completeness for a search algorithm in this scenario?

A search algorithm is complete if it finds a solution, like Path

$3$: $ABEFCDG,$ as long as one exists, even

if it may not be the shortest or most optimal path.

A search algorithm is complete if it always finds the most

efficient solution in terms of both time and memory, ensuring

that no redundant paths $($like Path $3)$ are explored.

A search algorithm is complete if it guarantees finding the

shortest path to the goal, such as Path $1$: $ABCD$

G $,$ by exploring all possible routes in an efficient manner.

A search algorithm is complete if it guarantees that all

explored nodes are visited only once, preventing loops such

as Path $2$: $AEF($loop back to $A)$ from being revisited

unnecessarily.