Which of the following are the linear data structures?(1 point)

Question

Responses

arrays, lists, stack, and queues
arrays, lists, stack, and queues

queue, stack, trees, and arrays
queue, stack, trees, and arrays

arrays, stack, maps, and trees
arrays, stack, maps, and trees

arrays, lists, stack, and graphs

Answer 1

The correct response for linear data structures is:

arrays, lists, stack, and queues

Linear data structures have elements arranged in a sequential manner. In this context:

• Arrays are collections of elements identified by index or key.
• Lists are ordered collections of elements.
• Stacks are collections that follow the Last In First Out (LIFO) principle.
• Queues follow the First In First Out (FIFO) principle.

The other options contain trees or graphs, which are not linear data structures.

Answer 2

Which of these is a collection of data values and the categorization of the relationships among them, making it an efficient way of organizing and sorting data within the computer?(1 point)
Responses

data structure
data structure

data type
data type

stack
stack

variable

Answer 3

The correct response is:

data structure

A data structure is a collection of data values and the relationships among them, designed to organize and store data efficiently for various operations.

Answer 4

Which of the following stores only one type of data in a specific location and must contain some value, meaning it cannot be null?(1 point)
Responses

operator
operator

primitive data structure
primitive data structure

float
float

expression

Answer 5

The correct response is:

primitive data structure

Primitive data structures are basic data types that store a single type of data in a specific location, and they typically must contain a value (i.e., they cannot be null in many programming languages). Examples of primitive data structures include integers, floats, and characters.

Answer 6

The programming team knows they need to create a program that will use a linear data structure to complete large amounts of data manipulation very quickly. Which data structure is most appropriate?(1 point)
Responses

array list
array list

maps
maps

linked list
linked list

graphs

Answer 7

The most appropriate linear data structure for efficient data manipulation, especially for large amounts of data, is:

array list

An array list allows for dynamic resizing and provides quick access to elements. While linked lists are also linear and offer efficient insertions and deletions, array lists generally provide faster access times for indexed elements due to their contiguous storage. Therefore, they are often favored for quick data manipulation tasks.

Answer 8

Determine the time and space complexities of a linear search.(1 point)
Responses

time complexity: O(n)

space complexity: O(n)

time complexity: upper O left parenthesis n right parenthesis space complexity: upper O left parenthesis n right parenthesis

time complexity: O(log(n))

space complexity: O(n)

time complexity: upper O left parenthesis log left parenthesis n right parenthesis right parenthesis space complexity: upper O left parenthesis n right parenthesis

time complexity: O(log(n))

space complexity: O(log(n))

time complexity: upper O left parenthesis log left parenthesis n right parenthesis right parenthesis space complexity: upper O left parenthesis log left parenthesis n right parenthesis right parenthesis

time complexity: O(n)

space complexity: O(log(n))

Answer 9

The correct response for the time and space complexities of a linear search is:

time complexity: O(n)

space complexity: O(1)

A linear search involves checking each element of a list sequentially until the desired element is found, resulting in a time complexity of O(n), where n is the number of elements in the list. The space complexity is O(1) because no additional space proportional to the input is needed; you are using a constant amount of space to store indices or temporary variables.

However, since "space complexity: O(n)" is not an option provided, it seems that the closest option would be:

time complexity: O(n) (but none of the options accurately capture the O(1) space complexity.)

Make sure to clarify that the correct space complexity for a linear search is O(1), not O(n).

Answer 10

Which of the following is a true statement?(1 point)
Responses

The efficiency of an algorithm measures the amount of resources it needs.
The efficiency of an algorithm measures the amount of resources it needs.

There are no ways to measure space complexity and time complexity.
There are no ways to measure space complexity and time complexity.

Shorter codes always have greater ease of implementation than longer codes.
Shorter codes always have greater ease of implementation than longer codes.

The only effort to consider regarding algorithm code is implementation.

Answer 11

The true statement is:

The efficiency of an algorithm measures the amount of resources it needs.

This statement accurately describes that the efficiency of an algorithm typically refers to its time complexity (how fast it runs) and space complexity (how much memory it uses).

The other options are false:

• There are ways to measure space complexity and time complexity.
• Shorter code does not always equate to greater ease of implementation, as sometimes more concise code can be harder to understand or maintain.
• Algorithm considerations extend beyond just implementation, including analysis of performance, correctness, and maintainability.