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Questions and Answers
Which of the following statements about max-heaps is true?
Which of the following statements about max-heaps is true?
- The root of a max-heap is the maximum value of the dataset. (correct)
- Max-heaps are binary trees with at most three children.
- Max-heaps are used to maintain a minimum value in a dataset.
- Max-heaps have only one level.
What is the purpose of using a priority queue?
What is the purpose of using a priority queue?
- To ensure that the most important task is always completed first. (correct)
- To track the minimum value in a dataset.
- To efficiently retrieve and update the maximum value.
- To create a binary tree with two qualities.
How are elements added to a max-heap?
How are elements added to a max-heap?
- Elements are added from left to right until the entire level is filled. (correct)
- Elements are added from right to left until the entire level is filled.
- Elements are added starting from the bottom of the heap.
- Elements are added randomly throughout the heap.
Which data structure is used to implement heaps for efficiency?
Which data structure is used to implement heaps for efficiency?
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What formula is used to find the index of a left child in a heap?
What formula is used to find the index of a left child in a heap?
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What is the process called when an element is added to a heap and the heap properties are restored?
What is the process called when an element is added to a heap and the heap properties are restored?
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What is the maximum element within a max-heap called?
What is the maximum element within a max-heap called?
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