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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is a search tree?
💡 Hint: Think about how data is organized for quick retrieval.
Question 2
Easy
Define a min heap.
💡 Hint: Consider how this structure allows easy access to the smallest element.
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 characteristic of a min heap?
💡 Hint: Think about where you'd find the minimum value in a collection.
Question 2
True or False: A binary search tree can have duplicate values.
💡 Hint: Recall the property of how elements are organized in a BST.
Solve and get performance evaluation
Push your limits with challenges.
Question 1
Construct a binary search tree from the numbers 10, 15, 5, 3, 12. Then perform both insert and delete operations, documenting changes to the tree at each step.
💡 Hint: Visualize each insertion and deletion to see how it affects the tree’s structure.
Question 2
You are given an unordered list of times [16:00, 16:30, 15:30, 15:45]. Design a search tree. How would you perform an in-order traversal and what would the outcome be?
💡 Hint: Remember to always begin with the smallest value on the left when constructing your tree.
Challenge and get performance evaluation