Microsoft Interview Question for Software Engineer / Developers


Country: United States
Interview Type: In-Person




Comment hidden because of low score. Click to expand.
2
of 4 vote

I modify shondik's code, the entire idea is correct, just need a few adjustment

#include<stdio.h>
#include<stdlib.h>

struct node {
    struct node *left;
    struct node *right;
    int data;
};

struct node *newnode(int data)
{
        struct node *node=(struct node *)malloc(sizeof(struct node));
        node->data=data;
        node->left=NULL;
        node->right=NULL;
        return node;
}



void printBoundaryLeft(struct node *root)
{
	if(root==NULL)
		return;
	if(root->left)
	{
		printf("%d ",root->data);
		printBoundaryLeft(root->left);
	}
}

void printBoundaryLeaf(struct node *root)
{
	if(root==NULL)
		return ;
	else
	{
		printBoundaryLeaf(root->left);
		if(root->left==NULL||root->right==NULL)
			printf("%d ",root->data);

		printBoundaryLeaf(root->right);
	}
}


void printBoundaryRight(struct node *root)
{
	if(root==NULL)
		return;
	if(root->right)
	{

		printBoundaryRight(root->right);
		printf("%d ",root->data);
	}
}
void printBoundary(struct node *root)
{

	if(root)
	{
		printf("%d ",root->data);
		printBoundaryLeft(root->left);
		printBoundaryLeaf(root);
		printBoundaryRight(root->right);
	}

}

int main()
{
	struct node *root=newnode(100);
	root->left=newnode(50);
	root->right=newnode(150);
	root->left->right=newnode(57);
	root->left->right->right=newnode(60);
	root->left->left=newnode(24);
	root->right->left=newnode(130);
	root->right->left->right=newnode(132);
	root->left->left->left=newnode(12);
	root->left->left->right=newnode(30);

	printBoundary(root);


	return 0;
}

- kingoffreeze July 01, 2012 | Flag Reply
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0
of 0 votes

a few of the nodes are printed twice
minor adjustments will make it better

- Tushar July 07, 2012 | Flag
Comment hidden because of low score. Click to expand.
0
of 0 votes

This approach does not work when, say root only has right sub-tree.

- IntwPrep December 04, 2013 | Flag
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1
of 1 vote

This is called an Euler tour. Refer: [http]jrgalia.com/content/euler-tour-traversal-binary-search-tree for java implementation.

- rajarshi129 October 01, 2012 | Flag Reply
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1
of 1 vote

A simple approach would be is look at it as printing the 1st and last node at each level, and also all the leaves.
Algorithm:
1) Find the height of the tree. Say H. Then initialize two strings level[H][2], and leaves[2^H] arrays to NULL
2) Do a DFS by keeping track of the height and at each node X, say at height h
a) if level[h][0] is NULL then level[h][0]=X
b) else if X is a leaf then leaves.append(X)
c) else level[h][1]=X
3) Once done with the DFS then print nodes in level[h][0] (marks the beginning node at each level), then nodes within leaves array, and then those in level[h][1] (marks the last node at each level)

Time complexity: O(N)
Space complexity: O(N)

- IntwPrep December 04, 2013 | Flag Reply
Comment hidden because of low score. Click to expand.
0
of 2 vote

This is basically a boundary edge traversal.

void printBoundaryEdgesLeft(struct node *root)
{
	if(root->left)
        {
                printf("%d ",root->data);
		printBoundaryEdgesLeft(root->left);
        }
        else if(root->right)
        {
                printf("%d ",root->data);
		printBoundaryEdgesLeft(root->right);
        }
}

void printBoundaryEdgesLeaves(struct node *root)
{
	if(root)
	{
		printBoundaryEdgesLeaves(root->left);
		
		if( !(root->left) && !(root->right) )
			printf("%d ",root->data);
			
		printBoundaryEdgesLeaves(root->right);
	}
}

void printBoundaryEdgesRight(struct node *root)
{
	if(root->right)
        {
		printBoundaryEdgesRight(root->right);
                printf("%d ",root->data);
         }
        else if(root->left)
        {
		printBoundaryEdgesRight(root->left);
                printf("%d ",root->data);
        }
}

void printBoundaryEdges(struct node *root)
{
	if(root)
	{
		printf("%d ",root->data);
		printBoundaryEdgesLeft(root->left);
		
		printBoundaryEdgesLeaves(root->left);
                printBoundaryEdgesLeaves(root->right);
		
		printBoundaryEdgesRight(root->right);
	}
}

- Aashish June 20, 2012 | Flag Reply
Comment hidden because of low score. Click to expand.
0
of 0 votes

can you post a main function for this?..thanks in advance

- vineetsetia009 June 21, 2012 | Flag
Comment hidden because of low score. Click to expand.
0
of 0 votes

I think this will miss the non leaf nodes with only one child.
For example the 130 in the given tree

- nio June 21, 2012 | Flag
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0
of 0 votes

@enihgad, i have modified the code. Now, its working for trees with one child also.
@vineetsetia009, call should be made as:
printBoundaryEdges(root);
I don't think there is any need of main function.

- Aashish June 24, 2012 | Flag
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0
of 0 votes

I think ur code is still incorrect :
1) You are getting some elements printed twice.
2) Your code of method "printBoundaryEdgesRight" is incorrect , if you mind analysing it.

- BABA June 29, 2012 | Flag
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0
of 0 votes

Please my answer.

- BABA June 29, 2012 | Flag
Comment hidden because of low score. Click to expand.
0
of 0 votes

@BABA, its better to cite some examples where the code fails than to writing sarcastic comments. Thank you.

- Aashish June 30, 2012 | Flag
Comment hidden because of low score. Click to expand.
0
of 0 votes

Hey shondik,
Why would I put some example when your code have the problems I suggested for the given example in question.

- BABA June 30, 2012 | Flag
Comment hidden because of low score. Click to expand.
0
of 0 vote

Here is the Java implementation. Here is in short what it does :
1.) doing preorder traversel
2.) keep if the node is on the most left or right side
3.) print nodes if they are end node or are most left or right node

public void printOutSideBoundries(TreeNode root) {
  printOutSideBoundries(root, true, true);
 }
 
 private void printOutSideBoundries(TreeNode node, boolean left, boolean right) {
  if (node != null) {
   if (node.left == null || node.right == null || left)
    System.out.format(“%s, ”, node.data);
   
   printOutSideBoundries(node.left, left, false);
   printOutSideBoundries(node.right, false, right);
 
   if (right && !(node.left == null || node.right == null || left))
    System.out.format(“%s,  ”, node.data);
  }
 }

- GKalchev June 21, 2012 | Flag Reply
Comment hidden because of low score. Click to expand.
0
of 0 vote

@Yaya : The tree structure is not clear to me. Could you please try to post the tree structure again.
Thanks.

- Begineer June 21, 2012 | Flag Reply
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0
of 0 vote

//   shondik's running code
#include<stdio.h>
#include<stdlib.h>
struct node {
    struct node *left;
    struct node *right;
    int data;
};
struct node *newnode(int data)
{
        struct node *node=(struct node *)malloc(sizeof(struct node));
        node->data=data;
        node->left=NULL;
        node->right=NULL;
        return node;
}


void   printBoundaryLeft(struct node *root)
{
        if(root==NULL)
            return;
        if(root->left)
        {
                printf("%d ",root->data);
                  printBoundaryLeft(root->left);
        }
        else  if(root->right)
        {
                printf("%d ",root->data);
                  printBoundaryLeft(root->right);
        }
}
void   printBoundaryLeaf(struct node *root)
{
        if(root==NULL)
            return ;
        else
        {
                printBoundaryLeaf(root->left);
                  if(root->left==NULL&&root->right==NULL)
                    printf("%d ",root->data);
                
                printBoundaryLeaf(root->right);
        }
}

void   printBoundaryRight(struct node *root)
{
        if(root==NULL)
            return;
        if(root->right)
        {
               
                  printBoundaryLeft(root->right);
                   printf("%d ",root->data);
        }
        else if(root->left)
            {
                
                  printBoundaryLeft(root->left);
                  printf("%d ",root->data);
            }
                
}
void  printBoundary(struct node *root)
{

        if(root)
        {
                printf("%d ",root->data);
                printBoundaryLeft(root->left);
                printBoundaryLeaf(root);
                printBoundaryRight(root->right);
        }
        
}
                
int main()
{
    struct node *root=newnode(1);
    root->left=newnode(2);
    root->right=newnode(3);
    root->left->right=newnode(4);
     root->left->right->left=newnode(13);
    root->left->left=newnode(5);
    root->right->right=newnode(7);
    root->right->left=newnode(12);
    
    printBoundary(root);
    
    
    return 0;
}

- Arya June 22, 2012 | Flag Reply
Comment hidden because of low score. Click to expand.
0
of 0 votes

i think all the nodes having one leaf node are not printed

- Tushar July 07, 2012 | Flag
Comment hidden because of low score. Click to expand.
0
of 0 vote

void DisplayPreOrder(TreeNode *nodePtr)
{
if(nodePtr)
{
cout<<"Data : "<<nodePtr->data<<endl;
DisplayPreOrder(nodePtr->Left);
DisplayPreOrder(nodePtr->Right);
}
}

- Shahid Iqbal June 25, 2012 | Flag Reply
Comment hidden because of low score. Click to expand.
0
of 2 vote

I think the following algorithm can do it all :

1)This method would give left edge of the frame.
   Method1(root,arr) 
    {
        if(root) 
         {
            arr.append(root)
            Method1(root->left , arr)
         }
        else
         {
             return arr
         }
    }
2)This method will generate right edge og the frame.
   Method2(root,arr)
     {
         if(root)
          {
             arr.append(root)
             Method2(root->right , arr)
          }
         else
	  {
	     return arr
          }
     }
3) genrate_frame(root)
   {
      ARRAY_TYPE arr_left[],arr_right[],arr_inorder[];
      Method1(root,arr_left);
      Method2(root->right,arr_right);
      Inorder(root,arr_inorder);//This function returns inorder traversal of the tree.
      for elem in arr_inorder:
	{
        if(elem->left!=NULL && elem->right!=NULL)
           continue;
        if(elem in arr_left)
           continue;
        if(elem in arr_right)
           continue;
        filter.append(elem)
        }
      print arr_left
      print filter
      print reverse(arr_right)
   }

- BABA June 29, 2012 | Flag Reply
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0
of 0 votes

@BABA, inefficient code. Doesn't handle various cases.
Try the below tree:

10
	        / \
              15   12
              \    /
               7  10
              /   /
             2   25

- Aashish June 30, 2012 | Flag
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0
of 0 votes

@shondik : Thank you , its a nice case which you pointed out.

- BABA July 06, 2012 | Flag
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0
of 0 vote

I request everyone to post algorithm rather than code. Most people here do not have time to go through many lines of code.

- DarkKnight July 23, 2012 | Flag Reply
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0
of 0 vote

Can we generalize saying that for
1) Left half of the root it is a pre order traversal
2) Right half of the root is an inorder traversal
??

- blah123 November 02, 2012 | Flag Reply
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0
of 0 vote

1) Initialize 3 lists left, bottom and right
2) Do a breadth first traversal but don't pop nodes of a level as u traverse it in order to keep track of the index of each node on the level
3) Check the following for each node
a) if index == 0 --> add node to left list
b) else if index == level.size() - 1 --> add node to right list
c) else
i) if node->left->left = null && node->left->right = null --> add node->left to bottom
ii) if (i) = true and node->right = null --> add node to bottom
iii) if (i) = false and node->right->left = null && node->right->right = null -> add node to bottom and node->right to bottom
4) do the breadth first traversal step

finally after the traversal if finished do:
1) print left from 0 to n
2) print bottom from 0 to n
3) print right from n to 0

- Mustapha December 03, 2012 | Flag Reply


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