What is the primary goal of search algorithms as introduced in the lecture?
Compare the breadth-first and depth-first search algorithms : BFS and DFS Intro

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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
To optimize the search time
To explore all possible paths in a search space
To find the shortest path in a graph
To minimize the number of nodes visited
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
In the context of the lecture, what does a search tree represent?
A tree used for balancing algorithms
A tree with weighted edges
A binary tree of sorted elements
A hierarchical structure of decisions
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How does a random search differ from a structured search algorithm?
It requires less computational power
It always finds the shortest path
It explores paths without a specific strategy
It uses a predefined path
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the key characteristic of breadth-first search?
It is faster than depth-first search
It uses a stack to manage nodes
It explores paths layer by layer
It explores paths as deep as possible
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
In breadth-first search, what is the approach to exploring paths?
Explore paths based on their weights
Explore paths one layer at a time
Explore all paths simultaneously
Explore one path to its end before starting another
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the main strategy of depth-first search?
Prioritize paths with fewer nodes
Use a queue to manage nodes
Explore paths as deep as possible before backtracking
Explore paths layer by layer
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How does depth-first search handle paths compared to breadth-first search?
It explores paths more shallowly
It explores paths more deeply
It uses a breadth-first approach
It skips certain paths
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