Python 3: Project-based Python, Algorithms, Data Structures - Project phase 4: Extract redundancies, create function and

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10 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the average and worst-case complexity of both bubble sort and selection sort?
O(N)
O(N^2)
O(log N)
O(N log N)
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
In which scenario does bubble sort achieve its best-case complexity?
When the list is random
When the list is already sorted
When the list has duplicate elements
When the list is in descending order
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How many comparisons does bubble sort make in its best case for a list of 5000 elements?
5000 squared
25 million
2500
5000
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the main reason selection sort has fewer comparisons than bubble sort in practice?
It reduces the range of elements in each iteration
It skips elements
It sorts in reverse order
It uses a different sorting technique
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the complexity of selection sort in the best-case scenario?
O(N log N)
O(log N)
O(N^2)
O(N)
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Why is N^2 complexity considered inefficient for large data sets?
It is difficult to implement
It only works for small lists
It grows quadratically with the number of elements
It requires more memory
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the advantage of algorithms with N log N complexity over those with N^2 complexity?
They use less memory
They are faster for small lists
They perform better on average and worst-case scenarios
They are easier to code
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