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Understanding Data Structures and Algorithms

Authored by Sherly Escandor

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University

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Understanding Data Structures and Algorithms
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20 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a data structure?

A way to store and organize data efficiently

A programming language

A type of database

A compiler tool

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Evelyn is working on a software project that requires her to manage a large amount of data efficiently. She needs to choose the best approach to handle this data. Which of the following best describes the need for data structures?

To speed up typing code

To organize data in memory efficiently

To design UI elements

To compile programs faster

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What role do algorithms play in optimizing software performance?

They are only useful for theoretical concepts

They assist in improving the efficiency of code execution

They are irrelevant to software development

They complicate the programming process

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does the efficiency of an algorithm refer to?

How often it runs

Its memory and time usage

The number of users it can support

How pretty the output looks

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following is NOT a factor in choosing an algorithm?

Time complexity

Space complexity

The programmer's mood

The size of the input data

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following statements is true about arrays?

Arrays can only store strings

Arrays allow dynamic resizing

Arrays store elements in contiguous memory locations

Arrays do not allow indexing

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the main difference between a set and a list?

Sets allow duplicate elements, lists do not

Sets are unordered and do not allow duplicates, lists are ordered and can have duplicates

Lists are used in databases only

Sets are slower than lists

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