Algorithm Concepts Quiz L2

Algorithm Concepts Quiz L2

University

10 Qs

quiz-placeholder

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Algorithm Concepts Quiz L2

Algorithm Concepts Quiz L2

Assessment

Quiz

Information Technology (IT)

University

Practice Problem

Medium

Created by

seven castueras

Used 2+ times

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10 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following describes a simple recursive algorithm?

Solves complex problems without any base cases.

Directly solves base cases, recurses with a simpler subproblem, and does extra work to convert the solution.

Requires multiple recursive calls to be classified as divide and conquer.

Always guarantees an optimal solution.

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In a backtracking algorithm, what does the algorithm do when it finds a solution?

Returns failure immediately.

Ignores the solution and continues searching.

Tests to see if a solution has been found, and if so, returns it.

Stops all processing.

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following is NOT a characteristic of divide and conquer algorithms?

The problem is divided into smaller subproblems.

The algorithm typically has at least two recursive calls.

Subproblems can overlap and are reused.

Solutions to subproblems are combined to solve the original problem.

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a defining feature of dynamic programming algorithms?

They always solve problems in linear time.

They use a brute-force approach to find solutions.

They store past results to avoid redundant calculations.

They require multiple solutions to exist.

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

A greedy algorithm aims to:

Find the best solution after considering all possibilities.

Make the best choice at each step without regard for future consequences.

Always guarantee an optimal solution.

Use complex data structures to keep track of choices.

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following examples illustrates a failure of a greedy algorithm?

Choosing the largest coin denomination to make change.

Finding the shortest path using Dijkstra's algorithm.

Using a 10 kron piece and five 1 kron pieces to make 15 krons.

Using dynamic programming to solve the knapsack problem.

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In a branch and bound algorithm, what does the tree represent?

The different states of a game being played.

The different possibilities to explore for a solution.

The optimal solution path only.

The upper and lower bounds of solutions only.

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