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Build Heap from Array Heapify in DSA C# - Interactive Practice

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Practice - 5 Tasks
Answer the questions below
1fill in blank
easy

Complete the code to find the parent index of a given child index in a heap.

DSA C#
int parentIndex = (childIndex - 1) [1] 2;
Drag options to blanks, or click blank then click option'
A*
B-
C+
D/
Attempts:
3 left
💡 Hint
Common Mistakes
Using multiplication instead of division.
Adding instead of subtracting 1 before division.
2fill in blank
medium

Complete the code to swap two elements in the array during heapify.

DSA C#
int temp = heapArray[i];
heapArray[i] = heapArray[[1]];
heapArray[[1]] = temp;
Drag options to blanks, or click blank then click option'
Alargest
Bparent
CleftChild
DrightChild
Attempts:
3 left
💡 Hint
Common Mistakes
Swapping with the left or right child without checking which is largest.
Swapping with the parent index.
3fill in blank
hard

Fix the error in the condition to check if left child exists within heap size.

DSA C#
if (leftChild [1] heapSize) {
    // compare values
}
Drag options to blanks, or click blank then click option'
A<
B<=
C>
D>=
Attempts:
3 left
💡 Hint
Common Mistakes
Using '>=' which allows invalid indices.
Using '<=' which can cause out-of-bounds access.
4fill in blank
hard

Fill both blanks to complete the loop that builds the heap from the array.

DSA C#
for (int i = [1]; i >= 0; i[2]) {
    Heapify(heapArray, heapSize, i);
}
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AheapSize / 2 - 1
B0
C--
D++
Attempts:
3 left
💡 Hint
Common Mistakes
Starting from 0 and incrementing instead of decrementing.
Starting from heapSize instead of last parent index.
5fill in blank
hard

Fill all three blanks to complete the Heapify function signature and recursive call.

DSA C#
void Heapify(int[] heapArray, int [1], int [2]) {
    int largest = [2];
    // rest of heapify logic
    if (largest != [2]) {
        Swap(heapArray, [2], largest);
        Heapify(heapArray, [1], largest);
    }
}
Drag options to blanks, or click blank then click option'
AheapSize
Bi
Clargest
Dindex
Attempts:
3 left
💡 Hint
Common Mistakes
Using wrong parameter names causing confusion.
Not initializing 'largest' with the current index.

Practice

(1/5)
1. What is the main purpose of the heapify process when building a heap from an array?
easy
A. To rearrange the array elements to satisfy the heap property
B. To sort the array in ascending order
C. To find the maximum element in the array
D. To reverse the array elements

Solution

  1. Step 1: Understand heap property

    A heap must satisfy the heap property where each parent node is greater (max-heap) or smaller (min-heap) than its children.
  2. Step 2: Role of heapify

    The heapify process rearranges elements to ensure this property holds for every subtree starting from a node.
  3. Final Answer:

    To rearrange the array elements to satisfy the heap property -> Option A
  4. Quick Check:

    Heapify = Rearrange for heap property [OK]
Hint: Heapify fixes subtree to maintain heap order [OK]
Common Mistakes:
  • Thinking heapify sorts the array
  • Confusing heapify with finding max/min element
  • Assuming heapify reverses the array
2. Which of the following is the correct way to call the Heapify method in C# for an array arr of size n at index i?
easy
A. Heapify(arr, n, i);
B. Heapify(i, arr, n);
C. Heapify(n, i, arr);
D. Heapify(arr, i, n);

Solution

  1. Step 1: Check method signature

    Heapify usually takes the array, its size, and the index to heapify as parameters in that order.
  2. Step 2: Match parameters order

    Heapify(arr, n, i); matches the correct order: array, size, index.
  3. Final Answer:

    Heapify(arr, n, i); -> Option A
  4. Quick Check:

    Heapify(arr, n, i) correct call [OK]
Hint: Remember parameter order: array, size, index [OK]
Common Mistakes:
  • Mixing parameter order
  • Passing index before array
  • Confusing size and index positions
3. Given the array [4, 10, 3, 5, 1], what will be the array after calling Heapify(arr, 5, 1) assuming a max-heap?
medium
A. [4, 1, 3, 5, 10]
B. [4, 5, 3, 10, 1]
C. [4, 10, 3, 5, 1]
D. [10, 4, 3, 5, 1]

Solution

  1. Step 1: Identify node at index 1

    Value is 10, children at indices 3 (5) and 4 (1).
  2. Step 2: Check heap property

    10 is greater than both children, so no swaps needed.
  3. Final Answer:

    [4, 10, 3, 5, 1] -> Option C
  4. Quick Check:

    Parent 10 > children 5,1 so unchanged [OK]
Hint: Check parent vs children values before swapping [OK]
Common Mistakes:
  • Swapping when parent is already largest
  • Confusing indices of children
  • Assuming heapify sorts entire array
4. Consider this code snippet for heapify in C#:
void Heapify(int[] arr, int n, int i) {
  int largest = i;
  int left = 2 * i + 1;
  int right = 2 * i + 2;

  if (left < n && arr[left] > arr[largest])
    largest = left;
  if (right < n && arr[right] > arr[largest])
    largest = right;

  if (largest != i) {
    int temp = arr[i];
    arr[i] = arr[largest];
    arr[largest] = temp;
    Heapify(arr, n, largest);
  }
}
What is the bug if the recursive call is missing?
medium
A. Stack overflow error will occur
B. Array will be sorted incorrectly
C. No bug, code works fine
D. Heap property may not be restored in subtrees

Solution

  1. Step 1: Understand recursive call role

    After swapping, heapify must be called on the affected child subtree to fix heap property there.
  2. Step 2: Effect of missing recursion

    Without recursion, only the root node is fixed, subtrees may remain invalid heaps.
  3. Final Answer:

    Heap property may not be restored in subtrees -> Option D
  4. Quick Check:

    Missing recursion breaks heap property below swapped node [OK]
Hint: Always recurse after swap to fix subtree [OK]
Common Mistakes:
  • Assuming one swap fixes entire heap
  • Thinking missing recursion causes crash
  • Ignoring subtree heap violations
5. You have the array [3, 9, 2, 1, 4, 5]. After building a max-heap using the heapify method from the bottom up, what is the final array?
hard
A. [9, 4, 5, 3, 1, 2]
B. [9, 4, 5, 1, 3, 2]
C. [9, 3, 5, 1, 4, 2]
D. [9, 5, 4, 3, 1, 2]

Solution

  1. Step 1: Start heapify from last non-leaf node

    Last non-leaf node index = (6/2)-1 = 2. Heapify at index 2 (value 2): children 5 (index 5), no right child. Swap 2 and 5 -> [3,9,5,1,4,2]
  2. Step 2: Heapify at index 1 (value 9)

    Children 1 (index 3), 4 (index 4). 9 is largest, no change -> [3,9,5,1,4,2]
  3. Step 3: Heapify at index 0 (value 3)

    Children 9 (index 1), 5 (index 2). Largest is 9, swap 3 and 9 -> [9,3,5,1,4,2]. Now heapify at index 1 (value 3): children 1 and 4. Largest is 4, swap 3 and 4 -> [9,4,5,1,3,2]
  4. Final Answer:

    [9, 4, 5, 1, 3, 2] -> Option B
  5. Quick Check:

    Bottom-up heapify gives max-heap [OK]
Hint: Heapify bottom-up from last non-leaf node [OK]
Common Mistakes:
  • Not heapifying all non-leaf nodes
  • Swapping incorrectly with children
  • Stopping heapify too early
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