Recall & Review
beginner
What is a Min Heap?
A Min Heap is a tree where the smallest value is always at the top (root). Every parent node is smaller than or equal to its children.
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beginner
What is a Max Heap?
A Max Heap is a tree where the largest value is always at the top (root). Every parent node is larger than or equal to its children.
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beginner
When should you use a Min Heap?
Use a Min Heap when you want quick access to the smallest item, like in a priority queue where the smallest task runs first.
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When should you use a Max Heap?
Use a Max Heap when you want quick access to the largest item, like in a game leaderboard showing the highest scores first.
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beginner
How do Min Heap and Max Heap differ in their root element?
Min Heap root is the smallest element; Max Heap root is the largest element.
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Which heap type always keeps the smallest element at the root?
✗ Incorrect
A Min Heap always keeps the smallest element at the root.
If you want to quickly find the highest score in a game, which heap should you use?
✗ Incorrect
A Max Heap keeps the largest element at the root, perfect for highest scores.
Which heap is best for implementing a priority queue where the smallest task runs first?
✗ Incorrect
Min Heap allows quick access to the smallest element, ideal for such priority queues.
In a Max Heap, what is true about the parent and child nodes?
✗ Incorrect
In Max Heap, each parent node is larger than its children.
Which of these is NOT a typical use case for a Min Heap?
✗ Incorrect
Min Heap is for smallest element access; largest element access is for Max Heap.
Explain the difference between Min Heap and Max Heap and when to use each.
Think about which element you want quick access to.
You got /4 concepts.
Describe a real-life example where a Max Heap would be more useful than a Min Heap.
Consider situations where the biggest number matters.
You got /3 concepts.