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DSA Typescriptprogramming~10 mins

Tree Traversal Preorder Root Left Right in DSA Typescript - Interactive Practice

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

Complete the code to start preorder traversal by visiting the root node first.

DSA Typescript
function preorder(node: TreeNode | null): void {
  if (node === null) return;
  console.log(node.val);
  preorder([1]);
}
Drag options to blanks, or click blank then click option'
Anode
Bnode.right
Cnode.left
Dnull
Attempts:
3 left
💡 Hint
Common Mistakes
Calling preorder on right child first
Calling preorder on the node itself again causing infinite recursion
2fill in blank
medium

Complete the code to continue preorder traversal by visiting the right subtree after the left.

DSA Typescript
function preorder(node: TreeNode | null): void {
  if (node === null) return;
  console.log(node.val);
  preorder(node.left);
  preorder([1]);
}
Drag options to blanks, or click blank then click option'
Anode.right
Bnode.left
Cnode
Dnull
Attempts:
3 left
💡 Hint
Common Mistakes
Calling preorder on left child twice
Calling preorder on the node itself again
3fill in blank
hard

Fix the error in the preorder traversal function to avoid infinite recursion.

DSA Typescript
function preorder(node: TreeNode | null): void {
  if (node === null) return;
  console.log(node.val);
  preorder(node.left);
  preorder([1]);
}
Drag options to blanks, or click blank then click option'
Anode
Bnode.right
Cnull
Dnode.left
Attempts:
3 left
💡 Hint
Common Mistakes
Calling preorder on node itself
Calling preorder on null unnecessarily
4fill in blank
hard

Fill both blanks to complete the preorder traversal function visiting root, left, then right.

DSA Typescript
function preorder(node: TreeNode | null): void {
  if (node === null) return;
  console.log(node.val);
  preorder([1]);
  preorder([2]);
}
Drag options to blanks, or click blank then click option'
Anode.left
Bnode.right
Cnode
Dnull
Attempts:
3 left
💡 Hint
Common Mistakes
Swapping left and right calls
Calling preorder on the node itself
5fill in blank
hard

Fill all three blanks to create a preorder traversal that prints the node value in uppercase, then visits left and right children.

DSA Typescript
function preorder(node: TreeNode | null): void {
  if (node === null) return;
  console.log(node.val[1]);
  preorder([2]);
  preorder([3]);
}
Drag options to blanks, or click blank then click option'
A.toUpperCase()
Bnode.left
Cnode.right
D.toLowerCase()
Attempts:
3 left
💡 Hint
Common Mistakes
Using .toLowerCase() instead of .toUpperCase()
Swapping left and right children calls

Practice

(1/5)
1. What is the order of nodes visited in a preorder tree traversal?
easy
A. Root, Left, Right
B. Left, Root, Right
C. Left, Right, Root
D. Right, Left, Root

Solution

  1. Step 1: Understand preorder traversal definition

    Preorder traversal visits the root node first, then recursively visits the left subtree, followed by the right subtree.
  2. Step 2: Match the order with options

    The order Root, Left, Right matches the preorder traversal definition exactly.
  3. Final Answer:

    Root, Left, Right -> Option A
  4. Quick Check:

    Preorder = Root, Left, Right [OK]
Hint: Preorder always starts with the root node first [OK]
Common Mistakes:
  • Confusing preorder with inorder or postorder
  • Visiting left or right before root
  • Mixing up traversal orders
2. Which of the following TypeScript function signatures correctly represents a preorder traversal function for a binary tree node?
easy
A. function preorder(node: TreeNode): number[]
B. function preorder(node: TreeNode | null): void
C. function preorder(): TreeNode
D. function preorder(node: TreeNode, result: number[]): number

Solution

  1. Step 1: Analyze function parameters and return type

    A preorder traversal function typically takes a node (or null) and returns void if it prints or processes nodes directly.
  2. Step 2: Check each option

    function preorder(node: TreeNode | null): void accepts a node or null and returns void, which fits a traversal that processes nodes without returning a value.
  3. Final Answer:

    function preorder(node: TreeNode | null): void -> Option B
  4. Quick Check:

    Traversal function signature with node or null and void return [OK]
Hint: Traversal functions usually take a node and return void or array [OK]
Common Mistakes:
  • Missing null in node parameter type
  • Wrong return type for traversal
  • Incorrect number of parameters
3. Given the following binary tree:
    1
   / \
  2   3
 / \
4   5

What is the output of a preorder traversal (Root, Left, Right)?
medium
A. [4, 2, 5, 1, 3]
B. [2, 4, 5, 1, 3]
C. [1, 2, 4, 5, 3]
D. [1, 3, 2, 4, 5]

Solution

  1. Step 1: Start at root node 1

    Preorder visits root first: 1
  2. Step 2: Traverse left subtree of 1

    Visit node 2, then its left child 4, then right child 5: 2, 4, 5
  3. Step 3: Traverse right subtree of 1

    Visit node 3: 3
  4. Final Answer:

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

    Preorder = Root, Left, Right = [1, 2, 4, 5, 3] [OK]
Hint: Visit root first, then left subtree, then right subtree [OK]
Common Mistakes:
  • Visiting left subtree after right subtree
  • Starting traversal from left child instead of root
  • Mixing preorder with inorder or postorder
4. Consider this TypeScript preorder traversal function:
function preorder(node: TreeNode | null): void {
  if (node === null) return;
  preorder(node.left);
  console.log(node.val);
  preorder(node.right);
}

What is the error in this code?
medium
A. It does not handle null nodes
B. It will cause infinite recursion
C. It prints nodes in postorder
D. It visits nodes in inorder, not preorder

Solution

  1. Step 1: Analyze the order of operations in the function

    The function first calls preorder on left child, then prints current node, then calls preorder on right child.
  2. Step 2: Compare with preorder definition

    Preorder should print the node first, then traverse left and right. This code prints after left subtree, so it is inorder traversal.
  3. Final Answer:

    It visits nodes in inorder, not preorder -> Option D
  4. Quick Check:

    Print before recursive calls = preorder; here print is in middle [OK]
Hint: Print node value before recursive calls for preorder [OK]
Common Mistakes:
  • Printing node after left subtree instead of before
  • Confusing traversal orders
  • Missing base case for null
5. You want to collect all node values of a binary tree in preorder traversal into an array. Which TypeScript function correctly implements this?
hard
A. function preorder(node: TreeNode | null, result: number[] = []): number[] { if (!node) return result; result.push(node.val); preorder(node.left, result); preorder(node.right, result); return result; }
B. function preorder(node: TreeNode | null): number[] { if (!node) return []; return [...preorder(node.left), node.val, ...preorder(node.right)]; }
C. function preorder(node: TreeNode | null): number[] { if (!node) return []; return [...preorder(node.left), ...preorder(node.right), node.val]; }
D. function preorder(node: TreeNode | null): number[] { if (!node) return []; return [node.val, ...preorder(node.right), ...preorder(node.left)]; }

Solution

  1. Step 1: Understand preorder traversal collection

    Preorder visits root first, then left subtree, then right subtree, collecting values in order.
  2. Step 2: Check each function's order and correctness

    function preorder(node: TreeNode | null, result: number[] = []): number[] { if (!node) return result; result.push(node.val); preorder(node.left, result); preorder(node.right, result); return result; } pushes node.val first, then recursively collects left and right, returning the result array correctly.
  3. Final Answer:

    function preorder(node: TreeNode | null, result: number[] = []): number[] { if (!node) return result; result.push(node.val); preorder(node.left, result); preorder(node.right, result); return result; } -> Option A
  4. Quick Check:

    Push root first, then left and right recursively [OK]
Hint: Push root value before recursive calls to left and right [OK]
Common Mistakes:
  • Collecting left subtree before root
  • Mixing left and right subtree order
  • Returning new arrays instead of accumulating
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