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Adobe Placement Papers 2025

Overview

This page is a working set of Adobe placement papers from 2025: from student reports questions, the 2025 online assessment pattern, and step-by-step solutions. Use it to see what Adobe 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 Adobe drive.

Download 2025 Placement Papers

Adobe 2025 paper 1

Latest Adobe placement paper with coding problems and solutions

Adobe 2025 paper 2

Additional 2025 Adobe paper with detailed solutions

Adobe 2025 paper 3

Another 2025 Adobe paper with comprehensive solutions

Adobe 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.

Adobe Placement Papers 2025 - actual questions & solutions

This section contains practice questions styled on Adobe 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: 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 2: 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 3: 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 4: maximum subarray sum

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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 5: 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 6: 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 7: 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 8

Q8: Which protocol is connection-oriented at the transport layer?

Solution:

TCP is connection-oriented; UDP is connectionless.

Answer: TCP

Question 9

Q9: Virtual memory is typically implemented using?

Solution:

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

Answer: Demand paging

Question 10

Q10: 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 11

Q11: Which normal form removes transitive dependency?

Solution:

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

Answer: 3NF

Hiring volume

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

Salary packages

2025 Packages: ₹35-45 LPA for freshers (updated packages)

Process updates

2025 Updates: Latest assessment tools, improved interview process

Key insights from 2025 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, AI/ML
  7. Enhanced Emphasis: Optimal solutions and AI/ML applications

Adobe 2025 interview experiences

Based on recent candidate experiences from 2025 Adobe 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, system design, 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: Scalable systems, creative solutions, AI/ML systems
  • Behavioral rounds: Problem-solving approach, innovation, teamwork, impact

2025 Interview Trends:

  • Increased emphasis on AI/ML applications and creative solutions
  • More focus on optimal solutions and system design
  • Enhanced behavioral questions about innovation and impact
  • Questions about Adobe’s AI-powered features and creative tools

Common 2025 Interview Topics:

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

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, AI features, and creative technologies
  • Practice explaining your thought process clearly

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

Preparation tips for Adobe 2025 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, creative solutions, and AI/ML systems
  3. Practice Previous Year Papers: Solve Adobe 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, algorithms, creative problem-solving, AI/ML
  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, AI features, 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
  11. AI/ML Basics: Understand AI/ML concepts and applications in creative software

Comments & Suggestions

2024 papers

Coding questions

Interview experience

Preparation guide

Adobe hub

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