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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What does Big O notation help with?
💡 Hint: Think about how we measure performance.
Question 2
Easy
Why is it essential to ensure an algorithm is correct?
💡 Hint: What happens if an algorithm fails?
Practice 4 more questions and get performance evaluation
Interactive Quizzes
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What is the primary purpose of testing algorithms?
- To improve coding skills
- To ensure correctness
- To develop algorithms
💡 Hint: Think about what happens if an algorithm produces unexpected results.
Question 2
Dynamic programming is best used when algorithms have overlapping subproblems. Is this statement true or false?
- True
- False
💡 Hint: Consider when you would need to efficiently recalculate results.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Design an algorithm that sorts a list of numbers using a merge sort. Discuss its efficiency using Big O notation.
💡 Hint: Consider the number of divisions needed in the process.
Question 2
Create a comparison chart between different sorting algorithms regarding their efficiency and correctness.
💡 Hint: Look for resources that provide efficiency ratings for these algorithms.
Challenge and get performance evaluation