BST Property and Why It Matters in DSA Go - Interactive Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to check if a value should go to the left subtree in a BST.

DSA Go

if value [1] node.Value {
    // go left
}

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 placement.

In a BST, values less than the current node go to the left subtree.

2fill in blank

medium

Complete the code to insert a new node in the BST when the value is greater.

DSA Go

if value [1] node.Value {
    node.Right = insert(node.Right, value)
}

Drag options to blanks, or click blank then click option'

A<=

B==

C>

D<

Attempts:

3 left

💡 Hint

Common Mistakes

Using '<=' causes incorrect insertion on the left side.

Values greater than the current node go to the right subtree in a BST.

3fill in blank

hard

Fix the error in the BST search condition to correctly find a value.

DSA Go

if node == nil || node.Value [1] value {
    return node
}

Drag options to blanks, or click blank then click option'

A>

B==

C<

D!=

Attempts:

3 left

💡 Hint

Common Mistakes

Using '!=' or '<' causes wrong search results.

We return the node when its value equals the searched value.

4fill in blank

hard

Fill both blanks to create a BST property check for left and right children.

DSA Go

if node.Left != nil && node.Left.Value [1] node.Value {
    return false
}
if node.Right != nil && node.Right.Value [2] node.Value {
    return false
}

Drag options to blanks, or click blank then click option'

A>=

B<=

C<

D>

Attempts:

3 left

💡 Hint

Common Mistakes

Mixing up comparison operators for left and right children.

Left child must be less than current node, so left.Value < node.Value is true; violation if left.Value >= node.Value.

Right child must be greater than current node, so right.Value > node.Value is true; violation if right.Value <= node.Value.

5fill in blank

hard

Fill all three blanks to build a dictionary comprehension that maps node values to their depths if depth is greater than 1.

DSA Go

depthMap := map[int]int{}
for node, depth := range nodes {
    if depth [1] 1 {
        depthMap[[2]] = [3]
    }
}

Drag options to blanks, or click blank then click option'

A>

Bdepth

Cnode

D<=

Attempts:

3 left

💡 Hint

Common Mistakes

Using '<=' instead of '>' causes wrong filtering.

We check if depth is greater than 1, then map node to depth in the dictionary.

Practice

1. What is the main property that defines a Binary Search Tree (BST)?

easy

A. Nodes are arranged in a complete binary tree shape

B. Left child nodes have smaller values, right child nodes have larger values

C. All nodes have exactly two children

D. Nodes store only unique values without any order

Solution

1. Step 1: Understand BST node arrangement

   In a BST, each node's left child contains values smaller than the node, and the right child contains values larger than the node.

2. Step 2: Compare with other tree types

   Other options describe different tree properties, but only Left child nodes have smaller values, right child nodes have larger values matches the BST property.

3. Final Answer:

   Left child nodes have smaller values, right child nodes have larger values -> Option B

4. Quick Check:

   BST property = Left smaller, right larger [OK]

Hint: Remember BST orders left < node < right [OK]

Common Mistakes:

• Confusing BST with complete binary tree
• Thinking all nodes must have two children
• Ignoring the order property of BST

2. Which of the following Go struct definitions correctly represents a node in a BST?

easy

A. type Node struct { value int; left Node; right Node }

B. type Node struct { value int; left *int; right *int }

C. type Node struct { value int; left *Node; right *Node }

D. type Node struct { value int; left interface{}; right interface{} }

Solution

1. Step 1: Check pointer usage for child nodes

   In Go, child nodes must be pointers to allow nil and recursive structure. type Node struct { value int; left *Node; right *Node } uses *Node pointers correctly.

2. Step 2: Identify incorrect struct fields

   type Node struct { value int; left Node; right Node } uses Node directly, causing infinite size. type Node struct { value int; left *int; right *int } uses *int which is wrong type. type Node struct { value int; left interface{}; right interface{} } uses interface{}, losing type safety.

3. Final Answer:

   type Node struct { value int; left *Node; right *Node } -> Option C

4. Quick Check:

   Use pointers for recursive structs in Go [OK]

Hint: Use *Node for left and right child pointers [OK]

Common Mistakes:

• Using struct fields instead of pointers for children
• Using wrong pointer types like *int
• Using interface{} losing type safety

3. What will be the in-order traversal output of this BST after inserting values in order: 10, 5, 15, 3, 7?

package main
import "fmt"
type Node struct {
  value int
  left, right *Node
}
func inOrder(root *Node) {
  if root == nil {
    return
  }
  inOrder(root.left)
  fmt.Print(root.value, " ")
  inOrder(root.right)
}
func insert(root *Node, val int) *Node {
  if root == nil {
    return &Node{value: val}
  }
  if val < root.value {
    root.left = insert(root.left, val)
  } else {
    root.right = insert(root.right, val)
  }
  return root
}
func main() {
  var root *Node
  vals := []int{10, 5, 15, 3, 7}
  for _, v := range vals {
    root = insert(root, v)
  }
  inOrder(root)
}

medium

A. 3 5 7 10 15

B. 10 5 15 3 7

C. 15 10 7 5 3

D. 5 3 7 10 15

Solution

1. Step 1: Insert values maintaining BST property

   Insert 10 as root, 5 to left, 15 to right, 3 left of 5, 7 right of 5.

2. Step 2: Perform in-order traversal

   In-order visits left subtree, node, right subtree. So output is 3 5 7 10 15.

3. Final Answer:

   3 5 7 10 15 -> Option A

4. Quick Check:

   In-order traversal of BST = sorted values [OK]

Hint: In-order traversal of BST gives sorted values [OK]

Common Mistakes:

• Confusing pre-order or post-order with in-order
• Not inserting nodes correctly in BST
• Printing values in insertion order

4. The following Go code tries to insert a value into a BST but fails to correctly insert the value. What is the bug?

func insert(root *Node, val int) *Node {
  if root == nil {
    return &Node{value: val}
  }
  if val <= root.value {
    insert(root.left, val)
  } else {
    insert(root.right, val)
  }
  return root
}

medium

A. Missing assignment to root.left or root.right after recursive insert

B. Using <= instead of < causes infinite recursion

C. Returning root instead of new node causes error

D. Function should not return *Node

Solution

1. Step 1: Analyze recursive insert calls

   The recursive calls insert(root.left, val) and insert(root.right, val) do not assign the returned node back to root.left or root.right.

2. Step 2: Understand why assignment is needed

   Without assignment, new nodes are not linked to the tree, causing incorrect structure.

3. Final Answer:

   Missing assignment to root.left or root.right after recursive insert -> Option A

4. Quick Check:

   Assign recursive insert result to child pointers [OK]

Hint: Always assign recursive insert result to child pointers [OK]

Common Mistakes:

• Forgetting to assign recursive call results
• Confusing comparison operators causing infinite loops
• Ignoring return values in recursive functions

5. You want to check if a binary tree is a valid BST. Which approach correctly verifies the BST property for all nodes?

hard

A. Check only immediate children values against node

B. Check in-order traversal for duplicates only

C. Check tree balance and uniqueness of values

D. Recursively verify all subtree values against node limits

Solution

1. Step 1: Understand BST validation requirements

   BST property requires all nodes in left subtree to be less than current node and all in right subtree to be greater, not just immediate children.

2. Step 2: Evaluate each option

   Recursively verify all subtree values against node limits correctly checks recursively with value limits. Check only immediate children values against node only checks immediate children, which can miss violations deeper in the tree.

3. Final Answer:

   Recursively verify all subtree values against node limits -> Option D

4. Quick Check:

   BST validation = recursive range checks [OK]

Hint: Check all subtree values recursively, not just children [OK]

Common Mistakes:

• Checking only immediate children values
• Confusing balance with BST property
• Assuming no duplicates means valid BST