Data Structures and Algorithms The Complete Masterclass - Big O(1) Complexity

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Information Technology (IT), Architecture, Social Studies
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University
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Hard
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5 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What does Big O of 1 signify in terms of algorithm performance?
The algorithm's performance is unpredictable.
The algorithm's performance remains constant regardless of input size.
The algorithm's performance improves as input size increases.
The algorithm's performance decreases as input size increases.
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
In the example provided, what operation is performed on the student list?
Calculating the average age
Printing the first student
Removing duplicates
Sorting the list
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How does the number of operations change when the input size increases in a constant time complexity?
It doubles.
It increases linearly.
It decreases.
It remains the same.
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the Big O notation for an algorithm that performs two operations regardless of input size?
Big O of n
Big O of n^2
Big O of 1
Big O of 2
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Why are constants like Big O of 2 or 3 considered as Big O of 1?
Because they represent linear time complexity.
Because they are not significant in Big O notation.
Because they are considered as constant time complexity.
Because they represent exponential time complexity.
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