Practice Top K Frequent Elements (9.4.6) - Apply Data Structures and Algorithms to Solve Real-World Programming Challenges
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Top K Frequent Elements

Practice - Top K Frequent Elements

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Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What data structure is commonly used to count frequencies in the Top K Frequent Elements problem?

💡 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?

💡 Hint: Think about which element you want to remove when you have more frequent ones.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is the main data structure used to count the frequency of elements?

Array
Hash Map
Linked List

💡 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?

True
False

💡 Hint: Think about the size limitations of heaps.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

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.

💡 Hint: Track numbers while counting, and effectively compare frequencies while maintaining k elements.

Challenge 2 Hard

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.

💡 Hint: Consider the edge case when the pool is smaller than your demand.

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Reference links

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