Intuit Placement Papers 2024

Overview

This page collects Intuit placement papers from 2024 with previous-year questions, solutions, and the 2024 exam pattern. It is useful when you want real drive history: what the OA looked like, which question types repeated, and how solutions were approached. Work through the papers below to build speed and accuracy, then compare against newer 2025 material so your prep matches both established Intuit patterns and the latest shifts.

2024 Intuit Pattern

The 2024 Intuit placement process focused on technical skills and problem-solving. Understanding the 2024 pattern helps you prepare better for upcoming placements.

Download 2024 Placement Papers

Intuit 2024 paper 1→

Complete Intuit placement paper with coding questions and solutions

Intuit 2024 paper 2→

Additional 2024 Intuit paper with detailed solutions

Intuit 2024 paper 3→

Another 2024 Intuit paper with comprehensive solutions

Intuit exam pattern 2024

Section	Questions	Time	Difficulty	Focus Areas
Coding/Programming	2-3	60-90 min	Medium-Hard	DSA, algorithms, problem-solving
Technical MCQs	15-20	30-40 min	Medium	CS fundamentals, OOP, DBMS
Aptitude	10-15	20-30 min	Easy-Medium	Quantitative, logical reasoning

Total: 30-50 questions, 90-120 minutes

Key Changes in 2024:

• Updated question patterns
• Increased focus on practical skills
• New evaluation criteria

Intuit Placement Papers 2024 - actual questions & solutions

This section contains practice questions styled on Intuit placement papers 2024 (previous-year 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: merge two sorted lists

Show solution

Problem Statement: Merge two sorted linked lists and return a new sorted list.

Example:

Input: 1→2→4 , 1→3→4
Output: 1→1→2→3→4→4

Solution (Java):

public ListNode mergeTwoLists(ListNode a, ListNode b) {
    ListNode dummy = new ListNode(0), cur = dummy;
    while (a != null && b != null) {
        if (a.val <= b.val) { cur.next = a; a = a.next; }
        else { cur.next = b; b = b.next; }
        cur = cur.next;
    }
    cur.next = (a != null) ? a : b;
    return dummy.next;
}

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

Question 2: climbing stairs

Show solution

Problem Statement: You can climb 1 or 2 steps. How many distinct ways to climb n stairs?

Example:

Input: n = 4
Output: 5

Solution (Java):

public int climbStairs(int n) {
    if (n <= 2) return n;
    int a = 1, b = 2;
    for (int i = 3; i <= n; i++) {
        int c = a + b; a = b; b = c;
    }
    return b;
}

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

Question 3: 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 4: valid parentheses

Show solution

Problem Statement: Given a string of brackets, determine if it is valid.

Example:

Input: "()[]{}"
Output: true

Solution (Java):

public boolean isValid(String s) {
    Deque<Character> st = new ArrayDeque<>();
    Map<Character, Character> pair = Map.of(')', '(', ']', '[', '}', '{');
    for (char c : s.toCharArray()) {
        if (pair.containsValue(c)) st.push(c);
        else if (st.isEmpty() || st.pop() != pair.get(c)) return false;
    }
    return st.isEmpty();
}

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

Question 5: 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 6: maximum subarray sum

Show solution

Problem Statement: Find the contiguous subarray with the largest sum.

Example:

Input: [-2, 1, -3, 4, -1, 2, 1, -5, 4]
Output: 6  // [4, -1, 2, 1]

Solution (Java):

public int maxSubArray(int[] nums) {
    int best = nums[0], cur = nums[0];
    for (int i = 1; i < nums.length; i++) {
        cur = Math.max(nums[i], cur + nums[i]);
        best = Math.max(best, cur);
    }
    return best;
}

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

Question 7: 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 8

Q8: Which data structure uses FIFO order?

Solution:

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

Answer: Queue

Question 9

Q9: 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 10

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

Solution:

TCP is connection-oriented; UDP is connectionless.

Answer: TCP

Question 11

Q11: Which normal form removes transitive dependency?

Solution:

1NF: atomic values. 2NF: no partial dependency. 3NF: no transitive dependency.

Answer: 3NF

2024 hiring trends

Hiring volume

2024 Data: Intuit hired 500-1000 candidates from top engineering colleges in 2024. The company conducted placement drives at 50+ colleges across India.

Salary packages

2024 Packages: ₹30-40 LPA for freshers

Process changes

2024 Updates: Updated online assessment platform, new interview formats

Key insights from 2024 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
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 concepts

Intuit 2024 interview experiences

Based on candidate experiences from 2024 Intuit interviews:

2024 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
3. Onsite Interviews (4-5 rounds, 45-60 minutes each):

• Coding rounds (2-3): Algorithms, data structures, problem-solving
• System Design rounds: Fintech systems, tax/accounting software, payment systems
• Behavioral rounds: Problem-solving approach, innovation, customer focus

Common 2024 Interview Topics:

• Coding: Arrays, strings, trees, graphs, dynamic programming, financial calculations
• System Design: Fintech systems, tax/accounting software, payment systems, data processing
• Behavioral: Problem-solving, innovation, customer focus, impact
• Intuit Technologies: QuickBooks, TurboTax, fintech platforms, tax/accounting software

2024 Interview Questions Examples:

• Two Sum Problem
• Reverse Linked List
• Design a tax calculation system (System Design)
• Design a payment processing system (System Design)
• Financial calculation problems

Success Tips:

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

For detailed interview experiences, visit Intuit Interview Experience page.

Preparation tips for Intuit 2024 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, tax/accounting software basics
3. Practice Previous Year Papers: Solve Intuit OA papers from 2020-2024 to understand patterns
4. Time Management: Practice completing 2-3 coding problems in 60-90 minutes
5. Technical MCQs: Practice CS fundamentals, OOP, DBMS, fintech concepts
6. LeetCode Practice: Solve 200+ LeetCode problems focusing on arrays, strings, trees, graphs (medium-hard difficulty)
7. System Design Practice: Learn fintech system design, payment systems, tax/accounting software
8. Intuit Technologies: Learn QuickBooks, TurboTax, fintech platforms, tax/accounting concepts
9. Behavioral Preparation: Prepare examples using STAR format - innovation, customer focus, problem-solving
10. Mock Tests: Take timed practice tests to improve speed and accuracy
11. Financial Knowledge: Understand basic financial concepts and tax/accounting principles

Comments & Suggestions

Related resources

2025 papers→

Coding questions→

Interview experience→

Preparation guide→

Intuit hub→

Similar companies

Adobe · Salesforce · Oracle · SAP · Microsoft · Google