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DSA Javascriptprogramming~10 mins

BST Insert Operation in DSA Javascript - Interactive Practice

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

Complete the code to create a new node with the given value.

DSA Javascript
function createNode(value) {
  return {
    value: value,
    left: null,
    right: null
  };
}

const newNode = [1](10);
Drag options to blanks, or click blank then click option'
AinsertNode
BNode
CcreateNode
DnewNode
Attempts:
3 left
💡 Hint
Common Mistakes
Using a function name that does not exist like insertNode.
Trying to use 'new' keyword with a plain object function.
2fill in blank
medium

Complete the code to insert a value into the BST recursively.

DSA Javascript
function insertNode(root, value) {
  if (root === null) {
    return createNode(value);
  }
  if (value [1] root.value) {
    root.left = insertNode(root.left, value);
  } else {
    root.right = insertNode(root.right, value);
  }
  return root;
}
Drag options to blanks, or click blank then click option'
A===
B<
C>
D!==
Attempts:
3 left
💡 Hint
Common Mistakes
Using '>' instead of '<' causes wrong subtree traversal.
Using '===' or '!==' causes logic errors.
3fill in blank
hard

Fix the error in the insert function to correctly handle duplicate values by ignoring them.

DSA Javascript
function insertNode(root, value) {
  if (root === null) {
    return createNode(value);
  }
  if (value < root.value) {
    root.left = insertNode(root.left, value);
  } else if (value > root.value) {
    root.right = insertNode(root.right, value);
  } else {
    [1];
  }
  return root;
}
Drag options to blanks, or click blank then click option'
Aroot.value = value
Breturn null
CinsertNode(root, value)
Dreturn root
Attempts:
3 left
💡 Hint
Common Mistakes
Trying to insert duplicates again causing infinite recursion.
Replacing root.value overwrites existing node.
4fill in blank
hard

Fill both blanks to insert multiple values into the BST using a loop.

DSA Javascript
function buildBST(values) {
  let root = null;
  for (let [1] = 0; [2] < values.length; [1]++) {
    root = insertNode(root, values[[1]]);
  }
  return root;
}
Drag options to blanks, or click blank then click option'
Ai
Bj
Cvalues.length
Droot
Attempts:
3 left
💡 Hint
Common Mistakes
Using wrong loop variable names inconsistently.
Incorrect loop condition causing infinite or no iteration.
5fill in blank
hard

Fill all three blanks to print the BST values in ascending order using in-order traversal.

DSA Javascript
function inOrderTraversal(root, result) {
  if (root !== null) {
    inOrderTraversal(root.[1], result);
    result.push(root.[2]);
    inOrderTraversal(root.[3], result);
  }
}

const result = [];
inOrderTraversal(bstRoot, result);
console.log(result);
Drag options to blanks, or click blank then click option'
Aleft
Bvalue
Cright
Droot
Attempts:
3 left
💡 Hint
Common Mistakes
Visiting right child before left causes descending order.
Pushing root instead of root.value causes wrong output.

Practice

(1/5)
1. What does the insert operation do in a Binary Search Tree (BST)?
easy
A. Searches for a node with a given value
B. Adds a new node in the correct position to maintain BST order
C. Deletes a node from the tree
D. Balances the tree automatically after insertion

Solution

  1. Step 1: Understand BST property

    In a BST, left child nodes are smaller and right child nodes are larger than the parent node.
  2. Step 2: Purpose of insert operation

    The insert operation places a new value in the tree so that this property remains true.
  3. Final Answer:

    Adds a new node in the correct position to maintain BST order -> Option B
  4. Quick Check:

    Insert means add node correctly [OK]
Hint: Insert means add node keeping BST order intact [OK]
Common Mistakes:
  • Confusing insert with delete operation
  • Thinking insert balances the tree automatically
  • Assuming insert searches only without adding
2. Which of the following is the correct syntax to insert a value val into a BST node root in JavaScript?
easy
A. root = insert(root, val);
B. root.insert(val);
C. insert(root, val);
D. insert(val, root);

Solution

  1. Step 1: Understand function usage in BST insert

    Insert usually returns the new root after insertion, so assignment is needed.
  2. Step 2: Check parameter order and assignment

    The function takes the root and value, returns updated root, so root = insert(root, val); is correct.
  3. Final Answer:

    root = insert(root, val); -> Option A
  4. Quick Check:

    Assign updated root after insert [OK]
Hint: Insert returns new root, so assign it back [OK]
Common Mistakes:
  • Calling insert without assignment
  • Passing parameters in wrong order
  • Using method call on root without method defined
3. What will be the inorder traversal output after inserting 5 into this BST?
    10
   /  
  3    15
   
    4

Insert 5 and then print inorder traversal.
medium
A. [3, 5, 4, 10, 15]
B. [3, 4, 10, 5, 15]
C. [3, 4, 5, 10, 15]
D. [5, 3, 4, 10, 15]

Solution

  1. Step 1: Insert 5 into BST

    Start at root 10, 5 < 10 go left to 3, 5 > 3 go right to 4, 5 > 4 insert as right child of 4.
  2. Step 2: Perform inorder traversal

    Inorder visits left, root, right: nodes visited in order: 3, 4, 5, 10, 15.
  3. Final Answer:

    [3, 4, 5, 10, 15] -> Option C
  4. Quick Check:

    Inorder sorted after insert [OK]
Hint: Inorder traversal of BST is sorted list [OK]
Common Mistakes:
  • Inserting 5 as left child of 4
  • Mixing preorder or postorder traversal output
  • Ignoring BST property during insertion
4. Given this insert function snippet, what is the error?
function insert(root, val) {
  if (root == null) {
    return new Node(val);
  }
  if (val < root.val) {
    insert(root.left, val);
  } else {
    insert(root.right, val);
  }
  return root;
}
medium
A. Returning root before insertion
B. Incorrect base case condition
C. Using '==' instead of '===' for null check
D. Missing assignment of recursive insert result to root.left or root.right

Solution

  1. Step 1: Check recursive calls

    Recursive calls to insert do not assign the returned node back to root.left or root.right, so tree structure won't update.
  2. Step 2: Correct recursive assignment

    Should assign: root.left = insert(root.left, val); or root.right = insert(root.right, val); to update links.
  3. Final Answer:

    Missing assignment of recursive insert result to root.left or root.right -> Option D
  4. Quick Check:

    Assign recursive insert result to child [OK]
Hint: Always assign recursive insert result to child pointer [OK]
Common Mistakes:
  • Ignoring assignment in recursion
  • Confusing base case with recursive step
  • Thinking '==' causes error here
5. You have a BST with nodes 20, 10, 30. You insert 25, then 5, then 35. What is the preorder traversal of the BST after all insertions?
hard
A. [20, 10, 5, 30, 25, 35]
B. [20, 30, 25, 35, 10, 5]
C. [10, 5, 20, 30, 25, 35]
D. [20, 10, 30, 5, 25, 35]

Solution

  1. Step 1: Insert nodes step-by-step

    Start with root 20, left 10, right 30.
    Insert 25: 25 < 30 and > 20, goes left of 30.
    Insert 5: less than 10, goes left of 10.
    Insert 35: greater than 30, goes right of 30.
  2. Step 2: Preorder traversal

    Preorder visits root, left subtree, right subtree.
    Visit 20, then left subtree (10, 5), then right subtree (30, 25, 35).
    So preorder: [20, 10, 5, 30, 25, 35]
  3. Final Answer:

    [20, 10, 5, 30, 25, 35] -> Option A
  4. Quick Check:

    Preorder = root-left-right [OK]
Hint: Preorder = root, left subtree, right subtree [OK]
Common Mistakes:
  • Mixing preorder with inorder or postorder
  • Inserting nodes in wrong position
  • Forgetting to update tree after insert
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10 questions~5 mineasy hard