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Paypal Placement Papers 2025

Overview

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

Paypal Online Assessment 2025 pattern

Section Questions Time Difficulty
Coding Problems 2-3 90 min Medium-Hard

Paypal Placement Papers 2025 - actual questions & solutions

This section contains practice questions styled on PayPal 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: 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 2: 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 3: 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 4: 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 5: 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 6: 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 7: 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 8

Q8: Worst-case time complexity of quicksort is?

Solution:

Unbalanced partitions (already sorted with bad pivot) → O(n²).

Answer: O(n²)

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 SQL clause filters grouped rows after GROUP BY?

Solution:

HAVING filters aggregates; WHERE filters rows before grouping.

Answer: HAVING

Key insights from 2025 Paypal Online Assessment

  1. Coding Section is Critical: Must solve 2-3 coding problems correctly to advance
  2. Payment Security Focus: Strong emphasis on payment systems, transaction processing, security, AI-powered fraud detection
  3. Time Management: 2-3 problems in 90 minutes requires excellent speed and accuracy
  4. Success Rate: Only 10-15% cleared OA and advanced to interviews
  5. Platform: PayPal’s assessment platform or HackerRank
  6. Focus Areas: Arrays, trees, graphs, dynamic programming, payment systems, AI-powered security
  7. Enhanced Emphasis: Optimal solutions, AI-powered fraud detection, and cloud-native payment systems

Paypal 2025 interview experiences

Based on recent candidate experiences from 2025 PayPal interviews:

2025 Interview Process:

  1. Online Assessment (90 minutes): 2-3 coding problems
  2. Technical Phone Screen (45-60 minutes): Coding problems, algorithm discussions, payment system 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: AI-powered payment systems, transaction processing, fraud detection, cloud-native security systems
  • Behavioral rounds: Problem-solving approach, security mindset, impact, AI/ML passion

2025 Interview Trends:

  • Increased emphasis on AI-powered fraud detection and cloud-native payment systems
  • More focus on optimal solutions and payment security best practices
  • Enhanced behavioral questions about security mindset and innovation
  • Questions about AI/ML applications in payment systems and fraud detection

Common 2025 Interview Topics:

  • Coding: Arrays, strings, trees, graphs, dynamic programming, payment algorithms, currency conversion
  • System Design: AI-powered payment systems, transaction processing, fraud detection, cloud-native security systems
  • Behavioral: Problem-solving, security mindset, teamwork, impact, AI/ML passion
  • PayPal Technologies: Payment systems, AI-powered features, transaction processing, cloud-native platforms

Success Tips:

  • Strong coding performance is essential - solve problems optimally
  • Understand payment systems, AI-powered fraud detection, and cloud-native payment systems
  • Practice system design for AI-powered payment systems and security
  • Prepare examples demonstrating problem-solving and security mindset
  • Learn PayPal’s products, AI features, and payment technologies
  • Practice explaining your thought process clearly

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

Preparation tips for Paypal 2025 pattern

  1. Master Coding Fundamentals: Focus on solving 2-3 coding problems correctly - arrays, trees, graphs, DP
  2. Payment System Expertise: Strong understanding of AI-powered payment systems, transaction processing, cloud-native security
  3. Practice Previous Year Papers: Solve PayPal OA papers from 2020-2025 to understand evolving patterns
  4. Time Management: Practice completing 2-3 coding problems in 90 minutes
  5. LeetCode Practice: Solve 200+ LeetCode problems focusing on arrays, strings, trees, graphs (medium-hard difficulty)
  6. Fintech Focus: Practice problems related to payment systems, transactions, AI/ML in fintech
  7. System Design Mastery: Learn AI-powered payment system design, transaction processing, fraud detection, cloud-native architecture
  8. Security Knowledge: Understand security best practices for payment systems and AI-powered fraud detection
  9. Behavioral Preparation: Prepare examples using STAR format - problem-solving, security mindset, 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 payment systems and fraud detection

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