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.

2025 Intuit Pattern

The 2025 Intuit placement process includes DSA and system design. Stay updated with the latest patterns and question types.

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

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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

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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

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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

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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

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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

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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

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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

2025 hiring trends

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

Related resources

Intuit 2024 papers→

Previous year Intuit placement papers with questions and solutions

Intuit coding questions→

Complete collection of Intuit coding problems with solutions

Intuit interview experience→

Real interview experiences from successful candidates

Intuit preparation guide→

Comprehensive preparation strategy for Intuit placement

Intuit main page→

Complete Intuit placement guide with eligibility, process, and salary

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Practice 2025 papers to stay updated with latest patterns and prepare effectively!