Practice Top K Frequent Elements - 9.4.6 | 9. Apply Data Structures and Algorithms to Solve Real-World Programming Challenges | Data Structure
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Practice Questions

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?

πŸ’‘ 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?

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

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 main data structure used to count the frequency of elements?

  • Array
  • Hash Map
  • Linked List

πŸ’‘ 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

πŸ’‘ Hint: Think about the size limitations of heaps.

Solve 1 more question and get performance evaluation

Challenge Problems

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.

πŸ’‘ 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.

πŸ’‘ Hint: Consider the edge case when the pool is smaller than your demand.

Challenge and get performance evaluation