Two Sum Problem Classic Hash Solution in DSA Java - Practice Problems & Challenges

Challenge - 5 Problems

❓ Predict Output

intermediate

Output of Two Sum Classic Hash Solution

What is the output of the following Java code that solves the Two Sum problem using a hash map?

DSA Java

import java.util.*;
public class Solution {
    public static int[] twoSum(int[] nums, int target) {
        Map<Integer, Integer> map = new HashMap<>();
        for (int i = 0; i < nums.length; i++) {
            int complement = target - nums[i];
            if (map.containsKey(complement)) {
                return new int[] { map.get(complement), i };
            }
            map.put(nums[i], i);
        }
        return new int[] {};
    }
    public static void main(String[] args) {
        int[] nums = {2, 7, 11, 15};
        int target = 9;
        int[] result = twoSum(nums, target);
        System.out.println(Arrays.toString(result));
    }
}

A [0, 1]

B [1, 2]

C [2, 3]

D []

💡 Hint

Think about which two numbers add up to the target 9 in the array.

The numbers 2 and 7 at indices 0 and 1 add up to 9, so the output is [0, 1].

🧠 Conceptual

intermediate

Understanding Hash Map Usage in Two Sum

Why does the Two Sum classic hash solution use a hash map to store numbers and their indices?

A To sort the array before searching for pairs.

B To quickly check if the complement of the current number exists in the array in constant time.

C To store all pairs of numbers that add up to the target.

D To count how many times each number appears in the array.

💡 Hint

Think about the time complexity of searching for a number in a hash map.

The hash map allows checking if the complement exists in constant time, making the solution efficient.

🔧 Debug

advanced

Identify the Error in Two Sum Code

What error will this Java code produce when trying to solve the Two Sum problem?

DSA Java

import java.util.*;
public class Solution {
    public static int[] twoSum(int[] nums, int target) {
        Map<Integer, Integer> map = new HashMap<>();
        for (int i = 0; i < nums.length; i++) {
            int complement = target - nums[i];
            if (map.containsKey(complement)) {
                return new int[] { map.get(complement), i };
            }
            map.put(nums[i], i);
        }
        return new int[] {};
    }
}

A ArrayIndexOutOfBoundsException

B NullPointerException

C Compilation error due to missing semicolon

D No error, code runs correctly

💡 Hint

Check the loop condition carefully.

The loop uses i <= nums.length which causes the index to go out of bounds when i equals nums.length.

❓ Predict Output

advanced

Output When No Two Sum Pair Exists

What is the output of this Java code when no two numbers add up to the target?

DSA Java

import java.util.*;
public class Solution {
    public static int[] twoSum(int[] nums, int target) {
        Map<Integer, Integer> map = new HashMap<>();
        for (int i = 0; i < nums.length; i++) {
            int complement = target - nums[i];
            if (map.containsKey(complement)) {
                return new int[] { map.get(complement), i };
            }
            map.put(nums[i], i);
        }
        return new int[] {};
    }
    public static void main(String[] args) {
        int[] nums = {1, 2, 3, 4};
        int target = 10;
        int[] result = twoSum(nums, target);
        System.out.println(Arrays.toString(result));
    }
}

A [1, 2]

B [0, 3]

C []

D null

💡 Hint

No two numbers in the array add up to 10.

Since no pair sums to 10, the method returns an empty array, printed as [].

🧠 Conceptual

expert

Time Complexity of Two Sum Classic Hash Solution

What is the time complexity of the Two Sum classic hash solution and why?

A O(n^2) because it checks every pair of elements.

B O(n log n) because it sorts the array first.

C O(log n) because it uses binary search on a sorted array.

D O(n) because each element is processed once and hash map lookups are O(1) on average.

💡 Hint

Think about how many times the loop runs and the cost of hash map operations.

The solution iterates once over the array and uses hash map lookups which are average O(1), resulting in O(n) time complexity.

Practice

1. What is the main purpose of using a hash map in the classic Two Sum problem solution?

easy

A. To store the sum of all pairs

B. To sort the array before searching

C. To store numbers and their indices for quick lookup

D. To reverse the array elements

Solution

1. Step 1: Understand the role of hash map

   The hash map stores each number as a key and its index as the value for quick access.

2. Step 2: Explain why quick lookup is needed

   Quick lookup helps find if the complement (target - current number) exists without scanning the entire array again.

3. Final Answer:

   To store numbers and their indices for quick lookup -> Option C

4. Quick Check:

   Hash map = quick index lookup [OK]

Hint: Hash map stores values for instant complement checks [OK]

Common Mistakes:

• Thinking hash map sorts the array
• Storing sums instead of indices
• Using hash map to reverse elements

2. Which of the following is the correct Java syntax to declare a hash map for integer keys and values used in Two Sum?

easy

A. HashMap map = new HashMap();

B. HashMap map = new HashMap<>();

C. Map map = new HashMap<>();

D. HashMap map = new HashMap<>();

Solution

1. Step 1: Identify correct generic types for HashMap

   Java uses wrapper classes Integer, not primitive int, for generics.

2. Step 2: Check syntax correctness

   HashMap map = new HashMap<>(); correctly declares HashMap with diamond operator for instantiation.

3. Final Answer:

   HashMap map = new HashMap<>(); -> Option D

4. Quick Check:

   Use wrapper classes and diamond operator [OK]

Hint: Use Integer, not int, for HashMap generics in Java [OK]

Common Mistakes:

• Using primitive types int in generics
• Missing diamond operator <>
• Incorrect Map interface usage

3. What will be the output of the following Java code snippet for input nums = [2, 7, 11, 15], target = 9?

public int[] twoSum(int[] nums, int target) {
    Map map = new HashMap<>();
    for (int i = 0; i < nums.length; i++) {
        int complement = target - nums[i];
        if (map.containsKey(complement)) {
            return new int[] { map.get(complement), i };
        }
        map.put(nums[i], i);
    }
    return new int[] {};
}

medium

A. [1, 2]

B. [0, 1]

C. [2, 3]

D. []

Solution

1. Step 1: Trace the loop and map updates

   i=0: map={}, complement=9-2=7, not found, map={2:0} i=1: complement=9-7=2, found in map at index 0, return [0,1]

2. Step 2: Return indices of the two numbers that sum to target

   Indices 0 and 1 correspond to numbers 2 and 7 which sum to 9.

3. Final Answer:

   [0, 1] -> Option B

4. Quick Check:

   2 + 7 = 9 [OK]

Hint: Check complement in map before adding current number [OK]

Common Mistakes:

• Returning indices in wrong order
• Not checking complement before insertion
• Returning empty array incorrectly

4. Identify the error in the following Two Sum Java method and select the fix:

public int[] twoSum(int[] nums, int target) {
    Map map = new HashMap<>();
    for (int i = 0; i <= nums.length; i++) {
        int complement = target - nums[i];
        if (map.containsKey(complement)) {
            return new int[] { map.get(complement), i };
        }
        map.put(nums[i], i);
    }
    return new int[] {};
}

medium

A. Change loop condition to i < nums.length

B. Change map to TreeMap

C. Remove map.put line

D. Change return type to List<Integer>

Solution

1. Step 1: Identify the loop boundary error

   The loop uses i <= nums.length which causes ArrayIndexOutOfBoundsException at last iteration.

2. Step 2: Fix the loop condition

   Changing to i < nums.length prevents out-of-bound access and fixes the error.

3. Final Answer:

   Change loop condition to i < nums.length -> Option A

4. Quick Check:

   Loop index must be less than array length [OK]

Hint: Use i < length, not i <= length, for array loops [OK]

Common Mistakes:

• Using <= instead of < in loop condition
• Changing map type unnecessarily
• Removing essential map insertion

5. Given the input array nums = [3, 3, 4, 5] and target = 6, what will the classic Two Sum hash solution return? Consider the code:

public int[] twoSum(int[] nums, int target) {
    Map map = new HashMap<>();
    for (int i = 0; i < nums.length; i++) {
        int complement = target - nums[i];
        if (map.containsKey(complement)) {
            return new int[] { map.get(complement), i };
        }
        map.put(nums[i], i);
    }
    return new int[] {};
}

hard

A. [0, 1]

B. [1, 2]

C. [2, 3]

D. []

Solution

1. Step 1: Trace the loop and map updates with duplicates

   i=0: map={}, complement=6-3=3, not found, map={3:0} i=1: complement=6-3=3, found at index 0, return [0,1]

2. Step 2: Understand handling of duplicates

   Even with duplicates, the first pair found is indices 0 and 1, both 3s summing to 6.

3. Final Answer:

   [0, 1] -> Option A

4. Quick Check:

   3 + 3 = 6 [OK]

Hint: Duplicates allowed; first matching pair returned [OK]

Common Mistakes:

• Ignoring duplicates and returning wrong indices
• Returning empty array incorrectly
• Confusing indices with values