Adobe Placement Papers 2024

Overview

This page collects Adobe 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 Adobe patterns and the latest shifts.

2024 Adobe Pattern

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

Download 2024 Placement Papers

Adobe 2024 paper 1→

Complete Adobe placement paper with coding questions and solutions

Adobe 2024 paper 2→

Additional 2024 Adobe paper with detailed solutions

Adobe 2024 paper 3→

Another 2024 Adobe paper with comprehensive solutions

Adobe 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

Adobe Placement Papers 2024 - actual questions & solutions

This section contains practice questions styled on Adobe 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: 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 2: 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 3: 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 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: merge two sorted lists

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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 6: valid parentheses

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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 7: 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 8

Q8: Which SQL clause filters grouped rows after GROUP BY?

Solution:

HAVING filters aggregates; WHERE filters rows before grouping.

Answer: HAVING

Question 9

Q9: Which data structure uses FIFO order?

Solution:

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

Answer: Queue

Question 10

Q10: In OOP, hiding internal details and showing only essential features is called?

Solution:

This is the definition of Encapsulation (often paired with abstraction in interviews).

Answer: Encapsulation

Question 11

Q11: Virtual memory is typically implemented using?

Solution:

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

Answer: Demand paging

2024 hiring trends

Hiring volume

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

Salary packages

2024 Packages: ₹35-45 LPA for freshers

Process changes

2024 Updates: Updated online assessment platform, new interview formats

Key insights from 2024 Adobe 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, algorithms, and creative problem-solving
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: Adobe’s assessment platform or HackerRank
6. Focus Areas: DSA, algorithms, system design, creative problem-solving

Adobe 2024 interview experiences

Based on candidate experiences from 2024 Adobe 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, system design
3. Onsite Interviews (4-5 rounds, 45-60 minutes each):

• Coding rounds (2-3): Algorithms, data structures, problem-solving
• System Design rounds: Scalable systems, creative solutions
• Behavioral rounds: Problem-solving approach, innovation, teamwork

Common 2024 Interview Topics:

• Coding: Arrays, strings, trees, graphs, dynamic programming, creative algorithms
• System Design: Scalable systems, creative solutions, performance optimization
• Behavioral: Innovation, problem-solving, teamwork, impact
• Adobe Technologies: Creative software, cloud services, AI/ML applications

2024 Interview Questions Examples:

• Two Sum Problem
• Reverse Linked List
• Design a scalable image processing system (System Design)
• Design Adobe’s creative cloud storage (System Design)
• Creative problem-solving scenarios

Success Tips:

• Strong coding performance is essential - solve problems optimally
• Practice system design for scalable and creative solutions
• Prepare examples demonstrating innovation and problem-solving
• Learn Adobe’s products and technologies
• Practice explaining your thought process clearly

For detailed interview experiences, visit Adobe Interview Experience page.

Preparation tips for Adobe 2024 pattern

1. Master Coding Fundamentals: Focus on solving 2-3 coding problems correctly - arrays, trees, graphs, DP
2. System Design Practice: Learn scalable system design and creative solutions
3. Practice Previous Year Papers: Solve Adobe 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, algorithms, creative problem-solving
6. LeetCode Practice: Solve 200+ LeetCode problems focusing on arrays, strings, trees, graphs (medium-hard difficulty)
7. Creative Problem-Solving: Practice thinking outside the box and innovative solutions
8. Adobe Knowledge: Learn Adobe’s products, creative software, cloud services
9. Behavioral Preparation: Prepare examples using STAR format - innovation, problem-solving, impact
10. Mock Tests: Take timed practice tests to improve speed and accuracy

Comments & Suggestions

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Interview experience→

Preparation guide→

Adobe hub→

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