OCR H446 - 2.3 Algorithms - Algorithms and Programming 02
Quiz
•
Computers
•
12th Grade
•
Practice Problem
•
Medium
Jason Davis
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85 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of the following graphs shows Constant Big-O notation?
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of the following graphs shows Linear Big-O notation?
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of the following graphs shows Polynomial Big-O notation?
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of the following graphs shows Exponential Big-O notation?
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of the following graphs shows Logarithmic Big-O notation?
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of the following best describes a Constant Big-O notation?
This means that the Size of the data set does not impact the Time complexity remains the same.
This means that Size of the data set increases so does the Time Complexity at the same rate.
This means that as the Size of the data set increases the algorithm takes much more time to run.
This means as algorithm takes increasingly more Time to run as the data set increases.
This means the data set takes a decreasing amount of Time more to complete as the data set increases,
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of the following best describes a Linear Big-O notation?
This means that the Size of the data set does not impact the Time complexity remains the same.
This means that Size of the data set increases so does the Time Complexity at the same rate.
This means that as the Size of the data set increases the algorithm takes much more time to run.
This means as algorithm takes increasingly more Time to run as the data set increases.
This means the data set takes a decreasing amount of Time more to complete as the data set increases,
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