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Algorithms final exam mock

Authored by Jack Samawi

Information Technology (IT)

University

Algorithms final exam mock
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35 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the time complexity of looking for an element in any given tree?

O(n)

O(log n)

O(1)

O(n log n)

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Given the topological sort implementation below, what is its time complexity? (n for Vertices, m for Edges)

O(m + n)

O(nm)

O(m log n)

O(n log m)

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

A Binary Search Tree is more appropriate than Binary Search over a sorted array when...

We need to perform not only searches but access any random element efficiently

The contents of the data structure are very dynamic and elements are added and removed frequently

The contents of the data structure are very static and do not change once inserted

We need to save space in memory

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the purpose of Red-Black Trees?

To help making insertions on the Binary Search Tree faster

To help making removals from the Binary Search Tree faster

To give the tree a beautiful colored shape

To keep the Binary Search Tree balanced

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following sentences about graphs is correct?

Breadth-First Search is suited to compose the topological orderings of a graph

Breadth-First Search can help us calculate the shortest path between two nodes in an unweighted graph

Depth-First Search is suited to calculate the shortest path in a Direct Acyclic Graph

Dijkstra's algorithm can help us calculate the shortest path between two nodes in an unweighted graph

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

This is a placeholder for Question 6.

Option A for Question 6

Option B for Question 6

Option C for Question 6

Option D for Question 6

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

This is a placeholder for Question 7.

Option A for Question 7

Option B for Question 7

Option C for Question 7

Option D for Question 7

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