Which of the following scenarios cannot be accurately represented by a tree structure?
Think about whether relationships can have cycles or multiple parents.
Trees cannot model relationships where nodes have multiple parents or cycles. Social networks have mutual friendships and cycles, which trees cannot represent.
Given the following adjacency lists, which output correctly represents a graph that cannot be a tree?
graph = {
1: [2, 3],
2: [1, 3],
3: [1, 2]
}
# Print adjacency listLook for cycles or multiple connections that break tree rules.
Option C shows a cycle between nodes 1, 2, and 3, which means it cannot be a tree. Trees cannot have cycles.
Which option shows an edge list that incorrectly represents a tree because it contains a cycle?
edges = [(1, 2), (2, 3), (3, 1)]
Check if edges form a cycle.
Option A contains a cycle (1-2-3-1), which is not allowed in trees.
You want to model a transportation network where stations connect in multiple ways, including loops. Which data structure is best?
Think about whether the structure needs to represent loops.
Graphs can represent cycles and multiple connections, which are common in transportation networks. Trees cannot represent cycles.
Which statement best explains why graphs are needed when trees are insufficient?
Consider the flexibility of connections in graphs vs trees.
Graphs allow multiple parents and cycles, which trees cannot. This flexibility is why graphs exist.