
7.5 Standard Methods of Solution Cambridge IGCSE 0478
Authored by Stephen Ling-Winston
Computers
10th Grade
Used 2+ times

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10 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the purpose of a linear search?
To find a specific value in an unsorted list by checking each element sequentially.
To sort a list in ascending order.
To count the total number of values in a list.
To find the average value of a dataset.
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
In which scenario is a linear search most efficient?
When the dataset is small or unsorted.
When the dataset is large and sorted.
When the dataset consists of only numbers.
When multiple searches need to be performed frequently.
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What does the bubble sort algorithm do?
It repeatedly compares and swaps adjacent elements to sort a list.
It searches for a specific value in a dataset.
It finds the largest value in a list.
It counts the number of occurrences of a value.
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Why is bubble sort inefficient for large lists?
It requires multiple passes through the list, making it slow for large datasets.
It can only sort numbers, not text values.
It only works if the list is already sorted.
It deletes duplicate values during sorting.
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the main purpose of the totaling method?
To calculate the sum of a set of values.
To find the maximum value in a dataset.
To count the number of elements in a list.
To arrange values in a specific order.
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
In which scenario would you use counting instead of totalling?
When determining how many times a certain value appears in a dataset.
When calculating the sum of all values in a dataset.
When sorting a list of numbers in ascending order.
When searching for a specific value in an unsorted list.
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which algorithm would you use to find the maximum value in a list?
Compare each value with the current maximum while traversing the list.
Use the bubble sort algorithm and select the first element.
Count the occurrences of each value and select the most frequent one.
Use a binary search to find the largest number.
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