Interview Problem: Find Missing Number in a sorted array (coding1.java)

Strengths:

• Correctly implements binary search for the missing number problem
• Excellent time and space complexity matching the reference solution
• Clean, readable code with helpful comments
• Proper handling of edge cases (array bounds with low+(high-low)/2 to prevent overflow)

Areas for Improvement:

• The solution assumes the array contains consecutive integers starting from 1. Consider adding input validation for robustness.
• The comment block could be more detailed, explaining why we check arr[mid] == mid+1.

VERDICT: NEEDS_IMPROVEMENT

Interview Problem: Design Min Heap

• Strengths: The binary search implementation for the missing number problem appears correct and follows good practices (using low + (high - low) / 2 to avoid overflow, proper loop termination).
• Critical Issue: You have solved a completely different problem. The assignment was to implement a Min Heap data structure with insert, extractMin, getMin, and heapify operations.
• Next Steps: Please re-read the problem statement carefully. You need to:
  1. Create a MinHeap class with a heap array
  2. Implement parent, leftChild, rightChild helper methods
  3. Implement heapify for maintaining heap property
  4. Implement insert() to add elements while maintaining min-heap property
  5. Implement extractMin() to remove and return the minimum element
  6. Optionally implement getMin() and printHeap()

VERDICT: NEEDS_IMPROVEMENT