Understanding Algorithms

Understanding Algorithms

Assessment

Interactive Video

Computers, Mathematics

9th - 12th Grade

Easy

Created by

Emma Peterson

Used 9+ times

FREE Resource

The video introduces algorithms, emphasizing their importance in coding interviews and computer science. It explains what algorithms are, their efficiency, and why they matter, especially for large data sets. The video covers linear and binary search algorithms, highlighting their differences in efficiency. It also discusses sorting algorithms and provides resources for further learning.

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10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Why are algorithms crucial in coding interviews?

They are rarely used in real-world applications.

They are easy to memorize.

They are only important for academic purposes.

They form the basis of problem-solving in computer science.

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is an algorithm?

A programming language.

A series of steps to solve a problem.

A random sequence of numbers.

A type of computer hardware.

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How do computers benefit from algorithms?

They are only used for sorting data.

They replace the need for human programmers.

They allow computers to perform tasks quickly.

They make computers slower.

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Why is the speed of an algorithm important?

It determines how fast a computer can boot up.

It affects the performance of large-scale data processing.

It is only relevant for small data sets.

It has no impact on memory usage.

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the main drawback of a linear search?

It can only be used with sorted data.

It requires a lot of memory.

It is very slow for large data sets.

It is too complex to implement.

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How does binary search improve efficiency?

By sorting the data first.

By using more memory.

By dividing the problem size in half each step.

By checking every element in the list.

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the time complexity of a binary search?

O(n)

O(n^2)

O(n log n)

O(log n)

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