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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What data structure is commonly used to count frequencies in the Top K Frequent Elements problem?
π‘ Hint: Think of a structure that allows you to quickly access counts.
Question 2
Easy
In the context of retrieving elements, what is a Min-Heap used for?
π‘ Hint: Think about which element you want to remove when you have more frequent ones.
Practice 4 more questions and get performance evaluation
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What is the main data structure used to count the frequency of elements?
π‘ Hint: It's a structure associated with quick lookups.
Question 2
Is the Min-Heap used in the algorithm to store more than k elements?
π‘ Hint: Think about the size limitations of heaps.
Solve 1 more question and get performance evaluation
Push your limits with challenges.
Question 1
Given the input list of integers [5, 3, 5, 2, 5, 6, 6], develop a solution to find the top 2 frequent elements, explaining each step of your reasoning.
π‘ Hint: Track numbers while counting, and effectively compare frequencies while maintaining k elements.
Question 2
How would your algorithm change if k is greater than the unique elements in the array? Design your approach according to such a potential scenario.
π‘ Hint: Consider the edge case when the pool is smaller than your demand.
Challenge and get performance evaluation