2024 papers
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
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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 2: valid parentheses
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Problem Statement: Given a string of brackets, determine if it is valid.
Example:
Input: "()[]{}"Output: trueSolution (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: trueSolution (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
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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 = 9Output: [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
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Problem Statement: Merge two sorted linked lists and return a new sorted list.
Example:
Input: 1→2→4 , 1→3→4Output: 1→1→2→3→4→4Solution (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
- Coding Section is Critical: Must solve 2-3 coding problems correctly to advance
- Payment Security Focus: Strong emphasis on payment systems, transaction processing, security, AI-powered fraud detection
- Time Management: 2-3 problems in 90 minutes requires excellent speed and accuracy
- Success Rate: Only 10-15% cleared OA and advanced to interviews
- Platform: PayPal’s assessment platform or HackerRank
- Focus Areas: Arrays, trees, graphs, dynamic programming, payment systems, AI-powered security
- 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:
- Online Assessment (90 minutes): 2-3 coding problems
- Technical Phone Screen (45-60 minutes): Coding problems, algorithm discussions, payment system concepts, AI/ML
- 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
- Master Coding Fundamentals: Focus on solving 2-3 coding problems correctly - arrays, trees, graphs, DP
- Payment System Expertise: Strong understanding of AI-powered payment systems, transaction processing, cloud-native security
- Practice Previous Year Papers: Solve PayPal OA papers from 2020-2025 to understand evolving patterns
- Time Management: Practice completing 2-3 coding problems in 90 minutes
- LeetCode Practice: Solve 200+ LeetCode problems focusing on arrays, strings, trees, graphs (medium-hard difficulty)
- Fintech Focus: Practice problems related to payment systems, transactions, AI/ML in fintech
- System Design Mastery: Learn AI-powered payment system design, transaction processing, fraud detection, cloud-native architecture
- Security Knowledge: Understand security best practices for payment systems and AI-powered fraud detection
- Behavioral Preparation: Prepare examples using STAR format - problem-solving, security mindset, AI/ML passion
- Mock Tests: Take timed practice tests to improve speed and accuracy
- AI/ML in Fintech: Understand AI/ML applications in payment systems and fraud detection
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