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Intuit Placement Papers 2025

Overview

This page is a working set of Intuit placement papers from 2025: from student reports questions, the 2025 online assessment pattern, and step-by-step solutions. Use it to see what Intuit actually asked in the latest cycle, how hard the rounds were, and which themes (DSA, system design, aptitude, or role-specific topics) mattered most. Practice the problems below under timed conditions, then cross-check with the interview and preparation guides if you are targeting an upcoming Intuit drive.

Download 2025 Placement Papers

Intuit 2025 paper 1

Latest Intuit placement paper with coding problems and solutions

Intuit 2025 paper 2

Additional 2025 Intuit paper with detailed solutions

Intuit 2025 paper 3

Another 2025 Intuit paper with comprehensive solutions

Intuit Online Assessment 2025 pattern

The 2025 exam pattern remains similar to 2024. For detailed exam pattern, see 2024 Papers.

Note: The pattern may have minor variations. Check the latest updates from the company.

Intuit Placement Papers 2025 - actual questions & solutions

This section contains practice questions styled on Intuit placement papers 2025 (recent-cycle pattern), with worked solutions. Use them as timed sectional drills - from student reports drives vary by college and role, so treat this as a high-signal practice bank, not an official paper dump.

Question 1: binary tree level order

Show solution

Problem Statement: Return the level-order traversal of a binary tree.

Example:

Input: [3,9,20,null,null,15,7]
Output: [[3],[9,20],[15,7]]

Solution (Java):

public List<List<Integer>> levelOrder(TreeNode root) {
    List<List<Integer>> res = new ArrayList<>();
    if (root == null) return res;
    Queue<TreeNode> q = new ArrayDeque<>();
    q.add(root);
    while (!q.isEmpty()) {
        int sz = q.size();
        List<Integer> level = new ArrayList<>();
        for (int i = 0; i < sz; i++) {
            TreeNode n = q.poll();
            level.add(n.val);
            if (n.left != null) q.add(n.left);
            if (n.right != null) q.add(n.right);
        }
        res.add(level);
    }
    return res;
}

Time Complexity: O(n)
Space Complexity: O(n)

Question 2: longest common prefix

Show solution

Problem Statement: Find the longest common prefix string amongst an array of strings.

Example:

Input: ["flower","flow","flight"]
Output: "fl"

Solution (Java):

public String longestCommonPrefix(String[] strs) {
    if (strs.length == 0) return "";
    String pref = strs[0];
    for (int i = 1; i < strs.length; i++) {
        while (!strs[i].startsWith(pref)) {
            pref = pref.substring(0, pref.length() - 1);
            if (pref.isEmpty()) return "";
        }
    }
    return pref;
}

Time Complexity: O(S)
Space Complexity: O(1)

Question 3: detect cycle in linked list

Show solution

Problem Statement: Return true if the linked list has a cycle.

Example:

Input: 3→2→0→-4→(back to 2)
Output: true

Solution (Java):

public boolean hasCycle(ListNode head) {
    ListNode slow = head, fast = head;
    while (fast != null && fast.next != null) {
        slow = slow.next;
        fast = fast.next.next;
        if (slow == fast) return true;
    }
    return false;
}

Time Complexity: O(n)
Space Complexity: O(1)

Question 4: two sum

Show solution

Problem Statement: Given an array of integers and a target, return indices of two numbers that add up to target.

Example:

Input: nums = [2, 7, 11, 15], target = 9
Output: [0, 1]

Solution (Java):

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

Time Complexity: O(n)
Space Complexity: O(n)

Question 5: first non-repeating character

Show solution

Problem Statement: Return the first non-repeating character in a string, or ‘_’ if none.

Example:

Input: "swiss"
Output: 'w'

Solution (Java):

public char firstUnique(String s) {
    int[] freq = new int[256];
    for (char c : s.toCharArray()) freq[c]++;
    for (char c : s.toCharArray()) if (freq[c] == 1) return c;
    return '_';
}

Time Complexity: O(n)
Space Complexity: O(1)

Question 6: reverse a string

Show solution

Problem Statement: Given a string, return it reversed.

Example:

Input: "placement"
Output: "tnemecalp"

Solution (Java):

public String reverse(String s) {
    return new StringBuilder(s).reverse().toString();
}

Time Complexity: O(n)
Space Complexity: O(n)

Question 7: check palindrome

Show solution

Problem Statement: Return true if the string reads the same forward and backward (ignore case).

Example:

Input: "Level"
Output: true

Solution (Java):

public boolean isPalindrome(String s) {
    s = s.toLowerCase();
    int i = 0, j = s.length() - 1;
    while (i < j) {
        if (s.charAt(i++) != s.charAt(j--)) return false;
    }
    return true;
}

Time Complexity: O(n)
Space Complexity: O(1)

Question 8

Q8: Time complexity of binary search on a sorted array of n elements is?

Solution:

Each step halves the search space → O(log n).

Answer: O(log n)

Question 9

Q9: Which data structure uses FIFO order?

Solution:

FIFO = First In First Out → Queue. Stack is LIFO.

Answer: Queue

Question 10

Q10: Which protocol is connection-oriented at the transport layer?

Solution:

TCP is connection-oriented; UDP is connectionless.

Answer: TCP

Question 11

Q11: Virtual memory is typically implemented using?

Solution:

OS uses demand paging (and sometimes segmentation) to implement virtual memory.

Answer: Demand paging

Hiring volume

2025 Data: Intuit is actively hiring 600-1200 candidates in 2025. The company is conducting placement drives at 60+ colleges across India.

Salary packages

2025 Packages: ₹30-40 LPA for freshers (updated packages)

Process updates

2025 Updates: Latest assessment tools, improved interview process

Key insights from 2025 Intuit Online Assessment

  1. Coding Section is Critical: Must solve 2-3 coding problems correctly to advance
  2. Technical MCQs: Strong emphasis on CS fundamentals, OOP, DBMS, fintech concepts, AI/ML
  3. Time Management: 2-3 coding problems in 60-90 minutes + 15-20 technical MCQs in 30-40 minutes + 10-15 aptitude in 20-30 minutes
  4. Success Rate: Only 10-15% cleared OA and advanced to interviews
  5. Platform: Intuit’s assessment platform or HackerRank
  6. Focus Areas: DSA, algorithms, fintech systems, tax/accounting software, AI/ML applications
  7. Enhanced Emphasis: Optimal solutions, AI/ML in fintech, and cloud technologies

Intuit 2025 interview experiences

Based on recent candidate experiences from 2025 Intuit interviews:

2025 Interview Process:

  1. Online Assessment (90-120 minutes): Coding (2-3 problems) + Technical MCQs (15-20) + Aptitude (10-15)
  2. Technical Phone Screen (45-60 minutes): Coding problems, algorithm discussions, fintech concepts, AI/ML
  3. Onsite/Virtual Interviews (4-5 rounds, 45-60 minutes each):
  • Coding rounds (2-3): Algorithms, data structures, problem-solving
  • System Design rounds: Fintech systems, AI-powered tax/accounting software, payment systems, cloud architecture
  • Behavioral rounds: Problem-solving approach, innovation, customer focus, impact

2025 Interview Trends:

  • Increased emphasis on AI/ML in fintech and tax/accounting software
  • More focus on optimal solutions and cloud-native fintech systems
  • Enhanced behavioral questions about innovation and customer focus
  • Questions about AI-powered tax preparation and financial insights

Common 2025 Interview Topics:

  • Coding: Arrays, strings, trees, graphs, dynamic programming, financial calculations
  • System Design: Fintech systems, AI-powered tax/accounting software, payment systems, cloud architecture
  • Behavioral: Problem-solving, innovation, customer focus, impact, AI/ML passion
  • Intuit Technologies: QuickBooks, TurboTax, AI-powered features, fintech platforms, cloud services

Success Tips:

  • Strong coding performance is essential - solve problems optimally
  • Understand fintech concepts, AI/ML in fintech, and tax/accounting software
  • Practice system design for AI-powered fintech systems and payment systems
  • Prepare examples demonstrating innovation and customer focus
  • Learn Intuit’s products, AI features, and fintech platforms
  • Practice explaining your thought process clearly

For detailed interview experiences from 2025, visit Intuit Interview Experience page.

Preparation tips for Intuit 2025 pattern

  1. Master Coding Fundamentals: Focus on solving 2-3 coding problems correctly - arrays, trees, graphs, DP
  2. Fintech Knowledge: Strong understanding of fintech concepts, AI/ML in fintech, tax/accounting software
  3. Practice Previous Year Papers: Solve Intuit OA papers from 2020-2025 to understand evolving patterns
  4. Time Management: Practice completing 2-3 coding problems in 60-90 minutes
  5. Technical MCQs: Practice CS fundamentals, OOP, DBMS, fintech concepts, AI/ML basics
  6. LeetCode Practice: Solve 200+ LeetCode problems focusing on arrays, strings, trees, graphs (medium-hard difficulty)
  7. System Design Practice: Learn AI-powered fintech system design, payment systems, cloud architecture
  8. Intuit Technologies: Learn QuickBooks, TurboTax, AI-powered features, fintech platforms, cloud services
  9. Behavioral Preparation: Prepare examples using STAR format - innovation, customer focus, AI/ML passion
  10. Mock Tests: Take timed practice tests to improve speed and accuracy
  11. AI/ML in Fintech: Understand AI/ML applications in fintech and tax/accounting software

Comments & Suggestions

2024 papers

Coding questions

Interview experience

Preparation guide

Intuit hub

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